PROMOTING OR PREVENTING SOCIAL CHANGE
Instrumentality, identity, ideology and group-based anger
as motives of protest participation
Jacquelien van Stekelenburg
Amsterdam, 2006
VRIJE UNIVERSITEIT
PROMOTING OR PREVENTING SOCIAL CHANGE
Instrumentality, identity, ideology and group-based anger as motives of protest participation
ACADEMISCH PROEFSCHRIFT
ter verkrijging van de graad Doctor aan
de Vrije Universiteit Amsterdam,
op gezag van de rector magnificus
prof.dr. T. Sminia,
in het openbaar te verdedigen
ten overstaan van de promotiecommissie
van de faculteit der Psychologie en Pedagogiek
op dinsdag 23 mei 2006 om 13.45 uur
in de aula van de universiteit,
De Boelelaan 1105
door
Jacquelien van Stekelenburg
geboren te Purmerend
promotor:
prof.dr. P.G. Klandermans
copromotor:
dr. W.W. van Dijk
To the three most important men in my life
About being grateful
The work with this dissertation has been exciting, instructive, and above all fun. Without help,
support, and encouragement from several people, I would never have been able to finish this
work.
First of all, I am grateful to my supervisor, Bert Klandermans. Bert, I’d like to thank you
for your loyalty and integrity. I am grateful you gave me the freedom to do it my way and I
admire the way you were able to keep your sense of humor even when the going was going very
tough. Above all, you taught me what science is about, not only how to conduct research and
writing it down but you gave me a ‘fatherly’ introduction into the science community with its
own culture, rituals, and jargon making it a less ‘far from my bed’ experience. I will also give a
special thanks to Wilco, my co-advisor. Wilco, I respect how fast you hooked up in the project
and were able to provide feedback, thanks!
It has been, and still is, a great pleasure to work at the department of SCW of the Vrije
Universiteit. I wish to express my thanks to other members of the department. A special thanks
goes to the people from ‘Social Conflict and Change’. Not only were they always there for
constructive discussions about research related topics, the social atmosphere was also very good
(en hij gelooft er in, hij ziet toekomst in de afdeling…).
I am very grateful to Conny and Annette, of course we had discussions about social
movements, motivation, extreme right movement, women’s movement….but there was so much
more to talk about! It is just a tremendous lot of fun to analyze the cultural processes of the
science community and the position of women within this community. I feel privileged to have
the two of you as ‘personal coaches’.
Then there were the little ‘clubs’, such as intervisie every 6 weeks since 1995. The last 10
years our little group experienced all the ups and downs of life in a nutshell, it’s great to know
that the intervisie group will always support you, writing application letters, problems on the
work floor, problems in the relational atmosphere you name it, the intervisie group is there to
support you. Ladies it is been a pleasure, and I am looking forward to the next 10 years!
I am also thankful to another club, the AiO-overleg of the department of Social
Psychology of the Vrije Universiteit. After changing the Social Psychology department for the
Social Cultural Department, the AiO-overleg of social psychology provided a home for me to
stay in touch with social psychology. A special thanks goes to Nickie, Myrke, Margreet, Petra,
Tom, Nils, Camiel, Petra, Lotte, Daniel, and Frederique. You all made me feel welcome, despite
the fact that I was a deserter.
I am also very grateful to the ladies of the fightclub. Although we knew each other
already for years the death of Mirjam brought us together and gave me the energy to fight for fun
in life! All the dinners we have together are enormously valuable to me and give me the strength
to cope with all the unfairnesses in life. Annemieke, Annette, Bianca, and Marjoka let’s keep on
fighting!
The last club I’d like to thank is the RFT-reading club. It is a pleasure to realize that other
people find some theories complex too, and it is even more fun to discuss articles and our own
work with you. Thanks for all the feedback and interesting discussions. They gave me energy and
the idea that science is so much fun. Guda, Krispijn, Belle en Collette, thank you.
Friends are a great gift in life, during ski-holidays, summer-holidays, weekends, parties,
get-togethers, dinners you were all there, to show me that there is so much more in life than
writing a dissertation. Cynthia, Wendy, Marieke, Max, Wim, Sioe, Eelco, Mark, Madeline,
Astrid, Hans, Sandra, Esther, Gerard, Paul, Toby and Cristien, thanks!
My parents, and my sisters receive my deepest gratitude and love for their dedication and
the years of support during my undergraduate studies that provided the foundation for this
project. My father for his interest and discussions about the world around us and my mother for
teaching me what motivation and perseverance is about. My sister Mariska for loving me and
being proud of me ‘at long distance’ and my sister Annoesjka for just having fun about nothing,
and organizing chill weekend-stays in Sint Maartenszee.
Finally, I want to thank the three most important men in my life. I’d like to thank Mika en
Biko for being such a sweet distraction. The two of you gave me the opportunity to put writing a
dissertation into perspective. However, most importantly, none of this would have been possible
without the love, trust and patience of Pascal. You were the one who encouraged me to take up
this project with the words: people should always pursue their dreams. Hereby I express my
heart-felt gratitude to you and now it is your time to pursue your dreams.
CONTENTS
Chapter 1. Introduction and theoretical background. ................................................................... 1
1.1 Introduction........................................................................................................................ 1
1.2 Theoretical background: Social psychological approaches to protest participation. ........ 5
1.2.1 Instrumentality.............................................................................................................. 6
1.2.2 Identity.......................................................................................................................... 9
1.2.3 Group-based anger ..................................................................................................... 14
1.3 Introduction of a new social psychological approach to protest participation. ............... 17
1.3.1 Instrumental path to protest participation................................................................... 19
1.3.2 Identity path to protest participation. ......................................................................... 20
1.3.3 Group-based anger path to protest participation. ....................................................... 20
1.3.4 Ideology path to protest participation......................................................................... 20
1.3.5 An integrative model of the instrumental, identity, ideology and group-based
anger paths........................................................................................................................... 21
1.4 Regulatory Focus Theory ................................................................................................ 27
1.4.1 Distinct goals, needs and values................................................................................. 29
1.4.2 Regulatory focus as moderator of the paths taken to protest participation. ............... 30
1.4.3 Regulatory fit: social movement context and regulatory focus.................................. 31
1.5 This study......................................................................................................................... 32
Chapter 2. Development and validation of RFQ-proverb. ......................................................... 34
2.1 Available assessment techniques to measure chronic regulatory focus. ......................... 34
2.1.1 Selves Questionnaires ................................................................................................ 34
2.1.2 Strength-of-Guide measure ........................................................................................ 36
2.1.3 Regulatory Focus Questionnaire by Higgins et al...................................................... 37
2.1.4 Regulatory Focus Questionnaire by Lockwood et al. ................................................ 37
2.1.5 Possible limitations of the RFQs of Higgins et al. and Lockwood et al. ................... 38
2.2 Proverbs as elements of an RFQ...................................................................................... 39
2.3 Development and evaluation of RFQ-proverb. ............................................................... 40
2.3.1 Scale development...................................................................................................... 40
2.3.2 Scale characteristics ................................................................................................... 42
2.3.3 A short version ........................................................................................................... 46
2.3.4 Relationships with other scales .................................................................................. 46
2.4 Study 1 and Study 2 ......................................................................................................... 49
2.4.1 Study 1 and Study 2 Methodology. ............................................................................ 50
2.4.2 Results and Discussion Study 1 and Study 2. ............................................................ 50
2.5 Study 3 ............................................................................................................................. 53
2.5.1 Methodology Study 3. ................................................................................................ 53
2.5.2 Results and Discussion Study 3. ................................................................................ 54
2.6 Conclusions...................................................................................................................... 57
Chapter 3. Methodology............................................................................................................. 60
3.1 Comparative research designs within protest participation research............................... 62
CONTENTS
3.3 Protest surveys. ................................................................................................................ 64
3.4 Procedure Study 4 and Study 5........................................................................................ 66
3.5 Participants Study 4 and Study 5. .................................................................................... 67
3.6 Representativeness of the samples of Study 4 and Study 5............................................. 69
Chapter 4. Instrumental, identity, ideological, and group-based anger and context: the relative
weight of participation motives. ................................................................................................. 72
4.1 Method ............................................................................................................................. 73
4.1.1 Sample ........................................................................................................................ 73
4.1.2 Measures..................................................................................................................... 73
4.2 Results.............................................................................................................................. 74
4.2.1 Preliminary analyses................................................................................................... 74
4.2.2 Analyses strategy........................................................................................................ 75
4.2.3 Main effects................................................................................................................ 77
4.2.4 Moderating effects of identity and social movement context. ................................... 79
4.2.5 Mediating effects of instrumental and ideology motives. .......................................... 84
4.2.6 Structural equation modelling. ................................................................................... 87
4.3. Conclusions................................................................................................................... 101
4.3.1 Model accounting for the strength of motivation to participate in political protest. 101
4.3.2 The influence of identification processes on protest participation........................... 102
4.3.3 The influence of social movement context on motivational patterns....................... 104
Chapter 5. Regulatory focus and political protest participation............................................... 107
5.1 Regulatory fit: social movement context and regulatory focus. .................................... 108
5.1.1 Group attractivity and regulatory focus. .................................................................. 108
5.1.2 Collective action frames and regulatory focus. ........................................................ 109
5.1.3 Frame alignment and regulatory focus..................................................................... 111
5.1.4 Determining regulatory characteristics of the collective action frames................... 112
5.1.5 Hypotheses about regulatory fit and participation motives...................................... 114
5.2 Measures ........................................................................................................................ 115
5.3 Results............................................................................................................................ 116
5.3.1 Preliminary analyses................................................................................................. 116
5.3.2. Main analyses .......................................................................................................... 118
5.3.3 Does inner obligation mediate between prevention-focus and identity motives?.... 120
5.4 Discussion...................................................................................................................... 123
5.5 Does regulatory focus moderate the paths taken to protest participation? .................... 124
5.5.1 Regulatory focus and participation motives............................................................. 124
5.6 Measures ........................................................................................................................ 126
5.7 Results............................................................................................................................ 126
5.7.1 SEM: Baseline model of protest participation steered by regulatory focus............. 126
5.7.2 Multiple-group analysis: regulatory focus and context............................................ 128
5.7.3 SEM: modified model of participation in prevention-oriented protest events......... 132
5.7.4 SEM: modified model of participation in promotion-oriented protest events. ........ 133
CONTENTS
5.8 Discussion...................................................................................................................... 135
Chapter 6. General discussion and conclusions. ...................................................................... 140
6.1 An integrative model accounting for protest participation. ........................................... 140
6.2 The influence of social movement context on the relative weight of the paths. ........... 143
6.3 Regulatory organization-participant fit. ........................................................................ 144
6.4 Regulatory focus as steering mechanism....................................................................... 146
6.5 Protest participation and identity................................................................................... 147
6.6 Protest participation and self-regulatory strategies. ...................................................... 149
6.7 Possible shortcomings. .................................................................................................. 151
6.8 Protest participation and directions for future research................................................. 152
6.8.1 From a static to a dynamic model. ........................................................................... 152
6.8.2 Effects of regulatory focus on protest participation. ................................................ 153
6.8.3 Effects of a variety of emotions on protest participation. ........................................ 154
6.8.4 Effects of political, economic and cultural contexts on protest participation. ......... 155
6.9 Concluding remarks....................................................................................................... 157
Samenvatting ............................................................................................................................ 159
References ................................................................................................................................ 166
1
Chapter 1. Introduction and theoretical background.
1.1 Introduction
The general picture of Dutch society was one of steady progress up to 2001. The Dutch were
happy and satisfied people (Social and Cultural Planning Office, 2004). However, a break in this
trend has occurred. “Since 2001 the Dutch social and political climate has been characterized by
unrest. On top of this, the economy has deteriorated. A number of notable events took place,
including acts of international terrorism and a political assassination within The Netherlands,
with serious political consequences. Although not all of these developments and incidents have a
bearing on people’s view on government policy, it is plausible to imagine that a climate of social
unrest increases people’s demands on the government, because the population seeks greater
protection against perceived risks” (Social and Cultural Planning Office, 2004, p. 71).
Political protest is one way to address demands to the government. And indeed, after a
relatively quiet period, we saw an increase in willingness to protest in the Dutch population aged
18 years and over (from 51% in 2000 to 55% in 2002, Social and Cultural Planning Office, 2004,
p. 45) and an increase in actual protest participation (9% in 2000 to 14% in 2002). These figures
seem to indicate that both willingness to participate and actual participation in political protest
have increased1. As Demeester (2004 p. 1) states “The Dutch have woken up from a long winter
sleep”.
On Saturday 2 October 2004 more than 300,000 protesters took to the streets in
Amsterdam. Most of these protesters (about 250,000) had been mobilized by three trade union
federations. This was the biggest trade union demonstration in Dutch history and the biggest
demonstration of any kind in Amsterdam since the anti-cruise missiles demonstration in 1981
(400,000 protesters).
Why would someone decide to go to Amsterdam and participate in a mass demonstration?
Indeed, why would someone participate in a political protest event? Over the last two decades,
social psychologists have begun to investigate individual participation in episodes of collective
action and political protest. They began by demonstrating that instrumental reasoning controlled
people’s participation in collective action. Gradually, they explored other motives that stimulate
1
This dissertation employs several terms for political protest participation, such as: participation in collective action,
(political) protest behaviour and participation in unconventional political action. All these terms imply a group
member engaging in collective action any time he or she is acting as a representative of that group and the action is
directed at improving the conditions of the entire group (Wright, Taylor & Moghaddam, 1990).
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2
people to engage in collective action. The first motive to be added was identification and,
recently, group-based anger has been put forward as another motive.
We have now reached the point where, from a social psychological perspective, three
possible motives lead to participation in political protest: instrumentality, identity and groupbased anger. This state of affairs leaves many issues unexplored. Klandermans (2003) points to a
set of unanswered questions about protest participation. The first unanswered question concerns
the role of ideology and its relationship to emotions. In his words: “Strangely enough, very little
systematic empirical work is available on ideology and on the way people’s ideals and values
generate passionate politics” (p. 699). Indeed, Klandermans makes a plea for a fourth motive that
may lead to protest participation: ideology. Another unanswered question is about the relative
weight of instrumentality, identity, ideology and group-based anger. Again in his words: “Each
mechanism has its impact, but how do they work together? Do they add to each other, or do they
interact? Are they correlated or independent determinants of participation?” (p. 699). Moreover,
he makes a case for the study of identity in systematic empirical work. As he argues: “A rapidly
growing literature exists of identity and movement participation, but most of this literature is only
conceptual and very little of it is empirical” (p. 699). Lastly, he points to a set of unanswered
questions concerning the dynamics between the individual protester and mobilization strategies
of movement organizations: “It would be interesting to know whether a specific strategy of
consensus mobilization would activate a specific group of people” (p. 699).
The main goal of this dissertation is to develop a theoretical model of political protest
participation that speaks to these questions. Our theoretical model is designed to amend and
elaborate on the motives currently accepted by social psychologists for participation in political
protest: instrumentality, identity and group-based anger. Indeed, our first objective is to integrate
the three motives in a single model. We do not believe, however, that the three motives cover the
whole range of fundamental motives that make people tick. Therefore, our second objective is to
extend the theoretical model of political protest participation by adding an ideology motive.
Thus, we propose a social psychological approach to protest participation consisting of the
following four motives: instrumentality, identity, ideology and group-based anger. Our third
objective is to account for the influence of social movement context on the relative weight of the
four participation motives.
The current social psychological literature on protest participation does not elaborate on
which of the three motives proposed so far will prevail for whom, when, and why. In other
words, for whom will what pathway to collective action prevail, and why? The answer to these
kinds of questions presupposes a steering mechanism. This brings us to our fourth objective: in
INTRODUCTION AND THEORETICAL BACKGROUND
3
addition to the four possible paths to collective action we conceive of a steering mechanism that
can explain why one path to protest participation will prevail over another. Regulatory focus is
the steering mechanism we propose.
This dissertation has at its core the idea that people’s motivation to participate in political
protest stems from self-regulation mechanisms originating in a perceived threat to their needs,
goals and values. Regulatory focus theory is a motivation theory based on the self-regulation
principle (Higgins, 1997; 1998). This self-regulation mechanism can be either promotionfocused, striving for nurturance needs, ideal goals (such as hopes and wishes) and self-directed
and autonomous values, or prevention-focused, aiming at security needs, ought goals (such as
obligations and responsibilities) and traditional and conformity values. Thus, the two foci are the
source of specific goals, needs and values and therefore provide different answers to the question
“What is my relation to the world?” Strauman (1996) refers to this question by describing a
regulatory focus as a worldview—a tendency to construe situations and experiences in terms of
the core psychological situation represented by the two foci. Regulatory focus can thus be seen as
a general worldview and has cognitive, emotional and behavioural consequences for how
individuals respond to the world (Higgins, 1998). We maintain that regulatory focus influences a
frame to interpret the social and political world, and therefore that it shapes protesters’
participation motives.
Finally, our fifth objective is to investigate in what social movement context which
motives will prevail. We investigate whether regulatory focus influences which collective action
frame will be persuasive for whom. Do organizations framing a protest activity in promotion
terms attract more promotion-focused than prevention-focused protesters? Or, alternatively, do
organizations framing a protest activity in prevention terms attract more prevention-focused than
promotion-focused protesters? This relates to the dynamics between the individual protester and
mobilization strategies of movement organizations, in other words person-environment fit or, in
Higgins’ (1997; 1998) words, regulatory fit.
Overview of this book.
The thread running through this dissertation is the relation between regulatory focus,
participation motives (instrumental, identity, ideology and group-based anger) and social
movement context. We thus bring together motivational theory and theories on protest behaviour.
This chapter therefore starts with a discussion of the two literatures. Chapter 2 deals with the
construction and validation of an instrument to measure regulatory focus, and discusses three
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4
studies conducted to test the reliability, validity and predictive value of the instrument
constructed. The instrument thus tested was employed in all the other studies reported.
The third chapter describes procedures, research methods used and data collection
methods. It should be noted that a description of the methodology is not confined exclusively to
this chapter. Each of the subsequent empirical chapters has its own methodology section in which
more specific information regarding operationalization and measures are presented.
The findings reported in Chapters 4 and 5 are based on the field study described in
Chapter 3. This study was conducted during a demonstration organized by two different
movements with two different action orientations (Turner & Killian, 1987): a more poweroriented action against austerity plans regarding early retirement rights and a more value-oriented
action against neo-liberal politics. This demonstration offered a unique opportunity to test the
relative weight of the participation motives (Chapter 4) and the relation between regulatory focus
and the motivational pattern of the protesters (Chapter 5).
Chapter 4 reviews literature on motivations to participate in political protest and the
influence of the mobilizing context. Subsequently, the results will be presented wherein the
relative weight of the participation motives—instrumentality, identity, ideology, and group-based
anger—in the two mobilizing contexts will be assessed. Because the action orientations of the
two demonstrations differ (one more value-oriented and one more power-oriented) comparing the
relative weight of the participation motives offers an opportunity to see whether the relative
weight of the participation motives changes as the action orientation varies.
Chapter 5 discusses the explanatory potential of regulatory focus theory regarding protest
participation. First, we review the literature on collective action frames and present results testing
the idea that a collective action frame defined in prevention terms is more persuasive for
prevention-focused individuals, whereas a collective action frame defined in promotion terms is
more persuasive for promotion-focused individuals (i.e., there is regulatory fit). Thus, we explore
whether regulatory focus influences which collective action frame will be persuasive for whom.
In our research we exploited the fact that two movements were proposing a different appraisal of
the situation. This provided the opportunity to test the idea, articulated as the fifth objective of
this dissertation, that organizations framing a protest activity in promotion terms attract more
promotion-focused than prevention-focused protesters, whereas protest activities framed in
prevention terms will attract more prevention-focused than promotion-focused protesters.
In the second part of Chapter 5 we test the extent to which regulatory focus generates
specific participation motives. As indicated, we conceive of regulatory focus as a steering
mechanism that may explain which pathway to collective action will prevail for whom, and why.
INTRODUCTION AND THEORETICAL BACKGROUND
5
We assume that regulatory focus influences the frame to interpret the social and political world,
and therefore shapes protesters’ participation motives.
Together, Chapters 4 and 5 aim to investigate the unexplored issues mentioned in this
introduction. In both field studies, “real” protesters are the subject of investigation. The data
presented concern their perceptions, motives and feelings in “the heat of battle”. They describe
the results of the interaction between protesters and collective action frames of organizations,
how collective action frames appeal to people, and regulatory focus and participation motives. In
Chapter 6, finally, the reported findings are reviewed and related to the literature, practical
implications are considered and recommendations for future research are formulated.
1.2 Theoretical background: Social psychological approaches to protest participation2.
Why would someone become engaged in a protest campaign? This question brings us to the level
of analysis of the individual and therefore to the realm of social psychology. As social
psychology explores the causes of the thoughts, feelings and actions of human beings, and
primarily the influence of other people upon these, it has a lot to offer to the study of social
movements in general, and protest behaviour in particular. We illustrate this point with the
presentation of three social psychological approaches to social movement participation.
Over the last two decades, social psychologists have begun to investigate individual
participation in episodes of collective action and political protest. Gradually, they have explored
more and more motives that stimulate people to engage in collective action. Initially the focus
was on the perceived costs and benefits of participation. Indeed, it was demonstrated that
instrumental reasoning controlled people’s participation in collective action (Klandermans,
1984). Participation was seen as an opportunity to change a state of affairs at affordable costs. It
also became clear, however, that instrumental reasoning is certainly not a sufficient reason to
participate in collective action. Gradually, the significance of collective identity as a protest
participation motive was emphasized (De Weerd & Klandermans, 1999; Kelly & Breinlinger,
1996; Reicher 1984; Simon et al., 1998; Stryker, Owen & White, 2002). Lately, we see a growing
interest in how emotions fuel protest participation (see Jasper, 1997; 1998; Goodwin, Jasper &
Polletta, 2001; van Zomeren, Spears, Fischer & Leach, 2004). Goodwin et al. (2001, p. 1) were
wondering how “academics have managed to ignore the swirl of passions all around them in
political life”. In the first half of the last century, emotions were at the centre of protest studies.
2
This section bears heavily on Klandermans & Stekelenburg (forthcoming).
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6
As a reaction to these irrational and emotional explanations, the dominating academic political
analyses on protest participation then shifted to rationalistic, structural and organizational
explanations; but, by reducing protest participation to a structural and rational process,
researchers appear to have swung the pendulum too far in the opposite direction. As a result,
emotions as explanations of protest were neglected altogether. Recently, it has been
acknowledged that with the shift from irrational to rational the baby was thrown out with the
bathwater. Indeed, the rational trend has now been reversed and we see emotions back on the
research agenda of social movement scholars.
We refer to the three social psychological approaches as instrumentality, identity and
group-based anger. Each approach gives a different answer to the question of why people
participate in protest campaigns, namely, people participate: (a) because they see it as an
opportunity to change, at affordable costs, a state of affairs with which they are unhappy; (b)
because they identify with the others involved; and (c) because they want to express their anger
towards a target that has violated their values (Klandermans, 2004). Identity here receives more
attention than the other approaches, because, as it turns out, identity plays a vital role in our
model explaining protest participation.
1.2.1 Instrumentality
In a reaction to the more traditional social psychological breakdown theories, resource
mobilization theory stresses the importance of structural factors and underscores the rationality of
participation in social movements. The unit of analysis of resource mobilization theory is
essentially the meso or macro level. About 20 years ago, resource mobilization theory was the
dominant approach in social movement research. This theory was blamed for being too structural
and it went “too far in nearly abandoning the social-psychological level of analysis of social
movements” (Klandermans, 1984, p. 584). Moreover, resource mobilization theory
“underestimated the significance of grievances and ideology as determinants of participation in
social movements” (Klandermans, 1984, p. 584). Additionally, in their decision to participate,
people take reactions of others into account; indeed, costs and benefits are not evaluated in a
social vacuum. To overcome these problems, Klandermans (1984) presented social-psychological
expansions of resource mobilization theory that explain why some aggrieved people do and
others do not participate in protest. His model reads as a plea for putting the social psychological
level of analysis back into mobilization and participation theories. After all, participation in
protest is individual behaviour. In this elaboration of the rational portrayal of mankind by
INTRODUCTION AND THEORETICAL BACKGROUND
7
resource mobilization theory, the perceived costs and benefits of participation became the
foundation of the model.
Expectancy value theory and collective action theory are merged in the model.
Expectancy value theory explains the motivation for specific behaviour by the value of the
expected outcomes of that behaviour (Klandermans, 1984). The foundation of the socialpsychological expansion of resource mobilization theory is an individual’s expectation that
specific outcomes will materialize multiplied by the value of those outcomes for the individual.
In line with expectancy-value approaches (Feather & Newton, 1982), expectations and values
stand in a multiplicative relationship. Protest participation is explained by the following
motivational parameters: collective benefits and social and non-social selective incentives.
Collective benefits are compounds of the value of the action goal and the expectations that the
goal will be reached. These expectations in their turn are expectations about the behaviours of
others, expectations that the action goal will be reached if many others participate and the
expectation that one’s own participation will increase the likelihood of success.
Expectancy value theory is based on a motivational analysis of a decision situation,
possible outcomes, consequences of outcomes, and action taken. In collective action theory
(Olson, 1965), then, people are conceived of as rational decision makers faced with a collective
action dilemma: if the collective good is produced people will reap the benefits anyway, while
the production of the collective good is not contingent on their own behaviour but on the joint
efforts of the collective. Collective action theory predicts that under those circumstances rational
actors will choose to take a free ride, unless selective incentives (i.e., those incentives that depend
upon participation) motivate them to participate. As the decision to participate must be taken
without knowing in advance the actual behaviour of others, individuals must rely on expectations
about that behaviour (Klandermans, 1984). Indeed, since in the pre-protest period information
about other people’s actual behaviour is often absent, potential protesters must rely on
expectations about other people’s behaviour.
Klandermans (1988) argues that free riding is less a problem than collective action theory
suggests. He maintains that non-participation is only a free ride if the collective action is
expected to be successful; but people are aware of the fact that some minimum number of
participants is needed for an action to be successful. If people expect that this threshold will not
be reached, they will refrain from participation, not because they are taking a free ride but
because they expect that the collective action will fail. If, on the other hand, the threshold is
reached, a few free riders more or less do not really matter. People’s views on whether the
threshold will be passed are based on expectations about the behaviour of other people and,
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according to Klandermans, such expectations operate as self-fulfilling prophecies: expecting a
low attendance leads to decreasing motivation to participate, whereas high expectations increase
motivation; thus expectations influence attendance.
Klandermans (1984) distinguishes between three different motives for social movement
participation is his model; each motive originates from different types of costs or benefits. The
first motive, the collective motive, derives from the movement’s collective goals. In line with
expectancy-value approaches (Feather, 1982), these blocks are conceptualized as the
multiplicative function of the subjective value of the goal(s) of the movement and the subjective
expectation that these goals will be reached. Expectations and value stand in a multiplicative
relationship, because it is assumed that neither of the two terms can be nil.
The second motive, the social motive, is derived from expected reactions of significant
others to one’s participation in protest. It is conceptualized as the multiplicative function of the
subjective (positive or negative) quality of others’ expected reactions and the personal
importance of these reactions.
Finally, the reward motive results from the selective incentives pertaining to more
personal costs and benefits, such as paying for a train ticket or having a good time with friends.
This motive is conceptualized too as a multiplicative function of value and expectancy
components.
The theory has found empirical support in several studies on a variety of movements (cf.
Klandermans, 2003). Moreover, in a comparison of three movements (the labour movement, the
women’s movement and the peace movement) Klandermans (1993) was able to show that
movements differ in terms of what motives trigger participation. He argued that the orientation of
the action for which each of the three movements was mobilizing—a strike, women’s groups in
the community and a peace demonstration —appeals to different participation motives. He
defined action orientation in terms of Turner and Killian’s (1987) description of action
orientations that can determine the course of a mobilization campaign. Turner and Killian
distinguish three action orientations: (1) power orientation, or an orientation toward acquiring
and exerting influence; (2) participation orientation, or an orientation toward the benefits of
participation; and (3) value orientation, or an orientation toward the goals and the ideology of the
movement. Although, according to Turner and Killian, all three orientations play some role in
every mobilization campaign, one orientation is always likely to dominate. Because strikes are
power-oriented, they appeal specifically to the expectation component of the collective benefits.
And, as Klandermans (1993) shows, the expectancy component was an important component in
explaining trade unionists’ willingness to strike. In participation-oriented actions like the
INTRODUCTION AND THEORETICAL BACKGROUND
9
women’s groups, women participated because participation in itself is perceived as satisfying.
Indeed, most women referred to selective incentives as motives to participate in the women’s
groups. The pattern of the peace movement’s demonstration yields the reverse pattern to the
pattern of the strike. In this value-oriented demonstration, the expectancy component did not
influence willingness to participate, but the value component carried great weight.
Combining collective action theory with expectancy value models appeared to be a useful
approach for the systematic analyses of the variety of beliefs, expectations and attitudes relating
to participation in a social movement (Klandermans, 1984) and the comparison of motivational
parameters dependent on action orientation (Klandermans, 1993). However, scholars doubted
whether movement participation could be fully explained by rational considerations (Kelly &
Breinlinger, 1996; Klandermans, 1986; 2003; 2004; Schrager, 1985). Kelly and Breinlinger
(1996) argue that the assumption of rationality is especially strained in cases of protracted
disputes. In these cases, union members often bear the financial and social burden of extreme
hardship and are usually fully cognizant of the fact that benefits, if gained at all, may be slight.
Again, a major limitation of this account is its neglect of the social and ideological aspects of
collective action. As Schrager (1985, p. 859) points out, “collective action is more than the sum
of economistic calculations: social and ideological factors figure powerfully in people’s
willingness to act”.
1.2.2 Identity
From various angles, the significance of collective identity as a motive stimulating participation
in collective action was emphasized (Kelly & Breinlinger, 1996; Reicher, 1984; Simon et al.,
1998; Stryker et al., 2002). Be it identification with workers or women (Kelly & Breinlinger,
1996; Kelly & Kelly, 1994), the elderly or gays (Simon et al., 1998, Simon & Stürmer, 2004),
farmers (De Weerd & Klandermans, 1999), former East Germans (Mummendey, Kessler, Klink
& Mielke, 1999) and the obese (Stürmer, Simon, Loewy & Jörger, 2003).
All these studies have one basic assumption: the stronger the identification with a social
category, the stronger the participation (or intention to participate) in collective action on behalf
of that category. Identification with the group at stake seems a powerful reason to participate in
protest on behalf of that group. What processes underlie identification and how do they relate to
protest participation? To answer these questions we will first elaborate on the concept of identity.
Thereafter, we will focus on a social psychological model of movement participation which
distinguishes between an instrumental and an identity pathway to participation.
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10
Identity. In the most basic social psychological sense, identity is a place in the social
world (Simon, 1999). A place is a metaphorical expression and stands for any position on any
socially relevant dimension such as nationality, ethnicity, gender, age and so forth (Simon, 1999).
At the psychological heart of social identity theory (Tajfel & Turner, 1979) lies the assumption
that people strive for a positive self-evaluation (Turner, 1999, p. 8). This self-evaluation
encompasses two components: a personal and a social identity. Personal identity refers to selfdefinition in terms of personal attributes, whereas social identity refers to self-definition in terms
of social category memberships. Social identity is seen as a cognitive mechanism; that is to say, if
social identity becomes more salient than personal identity, then people see themselves less as
unique individual persons and more as the prototypical representatives of their ingroup category.
Indeed, people are inclined to define their personal self in terms of what makes them different
from others, whereas they tend to define their social identities in terms of what makes them
similar to others. In other words, it is the cognitive redefinition from an “I” into a “we” as a locus
of self-definition that transforms individual into collective behaviour. When social identity
becomes more salient than personal identity, people think, feel and act as members of their group
(Turner, 1999). In the striving for a positive self-evaluation it is important that the membership of
groups has a positive influence on one’s self-evaluation. Therefore people want to be members of
high status groups.
Because people strive for a positive self-evaluation they will, when confronted with a low
group status, undertake action in order to acquire a high group status. Tajfel and Turner (1979)
formulate the circumstances contributing to intergroup behaviour. Intergroup behaviour requires
a low perceived group status and strong group identification (i.e., commitment to the group). In
general, people do not feel committed to a low status group, but some social structural
characteristics make commitment to a low status group viable. The first social structural
characteristic indicated in social identity theory is permeability of the group boundaries, that is,
the possibilities perceived by the individual to attain membership of a higher status group. When
people conceive membership of a higher status group as a possibility, there will be no
commitment to the lower status group. However, when people do not conceive possibilities to
join a higher status group, people can feel commitment to the lower status group. The second
social structural characteristic mentioned by social identity theory is stability. Stability is the
extent to which status positions are stable or variable. People who conceive status positions as
variable see collective action strategies as a possible method to realize higher group status. This
perception implies that people are inclined to participate in collective actions on behalf of the
group. This inclination will be enforced when the low group status is perceived as illegitimate or
INTRODUCTION AND THEORETICAL BACKGROUND
11
unjustified. To sum up, according to social identity theory, people who feel strongly committed
to their low status group will participate in collective action when they believe that collective
action will change the low group status and when the low status is perceived as illegitimate.
Group identification as the link between collective and social identity. Acting collectively
requires some collective identity or consciousness (Klandermans & De Weerd, 2001). Collective
identity and social identity are related concepts. However, they refer to different aspects of group
life. Collective identity concerns cognitions shared by members of a single group, whereas social
identity concerns cognitions of a single individual about his or her membership in one or more
groups. Indeed, collective identity concerns shared beliefs and social identity concerns the
incorporation of those socially shared beliefs (Klandermans & De Weerd, 2001). Klandermans
(1997) made the distinction between the social construction of collective beliefs, which is the
process of the formation of collective beliefs at the group level, and the appropriation of
collective beliefs, which is the process of the formation of the idiosyncratic remakes of those
beliefs at the individual level. Group identification, then, forms the link between collective and
social identity. Group identification is a product of self-categorization—a cognitive
representation of the self as an embodiment of a more inclusive category, accompanied by an
awareness of similarity, ingroup identity and shared fate with others who belong to that category,
the extent to which the ingroup is valued and self-involving (Brewer & Silver, 2001). Selfcategorization theory proposes that people are more prepared to employ a social category in their
social identity the more they identify with that category. Thus, the stronger the group
identification, the more the shared beliefs and fate comprised in the group’s collective identity
are incorporated in the social identity.
A group’s collective identity can be studied in its own right by examining such
phenomena as the group’s symbols, rituals, beliefs and the values its members share. An
individual’s identification with a group can be studied in its own right as well by examining the
individual’s beliefs, sentiments, commitment to the group, use of symbols, participation in rituals
and so on. Thus, group identification can be assessed in all kinds of ways, but any
operationalization of group identification will refer somehow to what it means to an individual to
belong to the group in point and will thus implicitly or explicitly refer to the pride of being a
member of the group, to the symbols, the values, the fate shared by the group members.
Therefore group identification is akin to commitment to the group (Klandermans & De Weerd,
2001, but see Kelly & Breinlinger, 1996; Mummendey et al, 1999). Huddy (2001), however,
argues that it is not group identification per se but the strength of this identification that
influences group members’ readiness to view themselves and act in terms of their group
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12
membership. Huddy (2001) criticizes social identity literature for neglecting the fact that realworld identities vary in strength; but, she argues, identifying more or less strongly with a group
may make a real difference, especially in political contexts.
Salience. The fact that people have many collective identities raises the question of why
some collective identities become central to mobilization while others do not, and why this is the
case. People have many group memberships that remain latent most of the time. Selfcategorization theory (Turner, Hogg, Oakes, Reicher & Wetherell, 1987) hypothesizes that
depending on contextual circumstances the transition from an “I” to a “we” as locus of selfdefinition occurs. A particular group membership and the associated identity is said to be salient
to the extent to which it is “functioning psychologically to increase the influence of one’s
membership in that group on perception and behavior” (Turner et al., 1987, p. 118). Social
identities are social comparative and reality-based representations of self and others, and hence
come into being and become meaningful in the social context and consequently will vary with the
social context. Thus, salience is context dependent; it is a dynamic outcome of categorization in
context (Turner, 1999). What turns a “sleeping identity” into a salient social identity and spurs
action preparedness on behalf of that identity? Besides contextual factors and direct reminders,
the presence of other ingroup members can be a potent reminder as well, even more so if the
members are aiming at a common goal. Another effective prompt is being a minority. Although
all of these reminders can make a social identity accessible, probably the most powerful factor
that brings group membership to mind is conflict or rivalry between groups.
The social identity approach suggests that salient social identity spurs several socialpsychological processes that facilitate group-serving behaviour. For example, when group
members define themselves in terms of their collective identity, they focus on the similarities
between themselves and fellow ingroup members with references to experiences, needs, interests
or goals. As a result, “my” experiences and “your” experiences, needs and so forth are
transformed into “our” experiences and needs. Group members’ perception that they share
problems or grievances, or that their needs, goals and interests are interchangeable, is an
important first step toward collective social and political action (Simon & Klandermans, 2001;
Stürmer & Kampmeier, 2003).
Politicized collective identity. Awareness of a collective identity does not necessarily
make that identity politically relevant; therefore, collective identity must politicize (Simon &
Klandermans, 2001). Politicization of collective identity and the underlying power struggle
unfold as a sequence of politicizing events that gradually transform the group's relationship to its
social environment. Typically, this process begins with the awareness of shared grievances. Next,
INTRODUCTION AND THEORETICAL BACKGROUND
13
an external enemy is blamed for the group's predicament, and claims for compensation are
levelled against this enemy. Unless appropriate compensation is granted, the power struggle
continues. If in the course of this struggle the group seeks to win the support of third parties such
as more powerful authorities (e.g., the national government) or the general public, collective
identity fully politicizes (Simon & Klandermans, 2001).
A collective identity of members of a particular group is politicized to the extent that
“group members (self)-consciously engage in a power struggle of their group knowing that it is
the wider, more inclusive societal context in which this struggle has to be fought out" (Simon &
Klandermans, 2001, p. 319). A politicized collective identity is related to Tajfel’s (1971) concept
of social change orientation (solving group problems through group actions), in that it indicates
the process of investing the self in the group and can be understood as a form of collective
identity that underlies group members’ explicit motivations to engage in such a power struggle.
What distinguishes a politicized collective identity from a collective identity? The first
distinction is consciousness raising: “the growing awareness of shared grievances and a clearer
idea of who or what is responsible for those grievances reflect a distinct cognitive elaboration of
one’s worldview providing group members with a meaningful perspective on the social world
and their place [as group members, JvS] in it” (Simon & Klandermans, 2001, p. 327). The second
distinction concerns the unique behavioural consequences of politicized collective identity,
namely, politicized group members should be likely to engage in collective action directed at the
government or the general public to force them to intervene or to take sides.
All in all, identification with a group makes people more prepared to act as a member of
that group, and therefore influences protest behaviour on behalf of that group. Simon and
colleagues (Simon et al., 1998; Simon & Stürmer, 2004, Stürmer et al., 2003) acknowledge the
influence of group identification on protest participation and develop a dual path model
consisting of an instrumental and an identity pathway to protest participation.
Dual path model to protest participation with an instrumental and identity path. Simon
and colleagues (1998) propose a dual path model to protest participation: a calculation pathway,
guided by instrumental reasoning that concentrates on the costs and benefits of participation, and
an identification pathway that is guided by identity processes. The calculation pathway is
represented by Klandermans’ (1984) instrumental model. Identity is elaborated in the context of
social identity theory and is conceived in terms of Tajfel’s (1978, p. 63) definition of social
identity: that is, the cognitive importance of the membership, the personal evaluation of the
membership, and the emotional significance (Stürmer et al., 2003).
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14
Stürmer et al. (2003) attempt to give a theoretical account of why strong identification
with a group makes participation on behalf of that group more likely. According to Stürmer et al.
(2003, p. 73), this is due to “a felt inner obligation to behave as a ‘good’ member”. These authors
show that, when self-definition changes from personal to social identity, the group norm of
participation becomes salient (Brown, 1980); the more one identifies, the more weight this group
norm will carry and the more it will result in an “inner obligation” to participate on behalf of the
group.
In several studies exploring participation motives for various movements, Simon and his
collaborates find empirical support for their concept of a dual pathway to social movement
participation. Be it in their previously mentioned studies of identification with the Fat
Acceptance Movement (Stürmer et al., 2003), the older people's movement or the gay movement
(Simon et al., 1998), both calculation and identification made unique contributions to the
prediction of willingness to participate. Rather than replacing instrumentality as an explanatory
paradigm, identity added to the explanation as a second pathway. In fact, both calculation and
identification could work together at the same time in the same person’s motivation.
Identity processes appear to have both an indirect and a direct effect on protest
participation (Stürmer, 2000, cited by Klandermans, 2000): a direct effect because collective
identity creates a shortcut to participation: participation stems not so much from the outcomes
associated with participation but from identification and solidarity with other group members
involved (Klandermans, 2000); an indirect effect because collective identity influences
instrumental reasoning, making it less attractive to take a free ride: high levels of group
identification increase the costs of defection and the benefits of cooperation.
1.2.3 Group-based anger
Emotions in protest research are new comers with a long history. Observing protesters makes one
wonder why, until recently, protest researchers ignored emotions as explanations for protest
behaviour. The sociologists Jasper (1997; 1998), Goodwin and Poletta (Goodwin, Jasper &
Poletta, 2001) were the first to emphasize the importance of emotions in the context of political
protest. They hold that emotions are important in the growth and unfolding of social movement
and political protest. A central characteristic of emotions is social construction, in other words,
the influence of norms, values and cultures on the experience of emotions. Goodwin et al. (2001)
argue that emotions are socially constructed, but that “some emotions are more [socially, JvS]
constructed than others, involving more cognitive processes” (p. 13). In their view, emotions that
are politically relevant are, more than other emotions, at the social construction end of the scale.
INTRODUCTION AND THEORETICAL BACKGROUND
15
For these emotions, cultural and historical factors play an important role in the interpretation of
the state of affairs by which they are generated. The social construction of emotions is also an
important aspect of the social psychological approach taken by van Zomeren et al. (2004) to
collective action.
Dual path model to protest participation with an instrumental and emotion path.
Interestingly, the notion of a dual pathway was also proposed by van Zomeren et al. (2004) in
their approach to collective action participation. These authors propose instrumentality and
group-based anger as two pathways to protest participation.
The theoretical foundation of van Zomeren et al.’s (2004) model is in the appraisal theory
of emotion (Lazarus, 1991). The appraisal theory of emotion conceives appraisal, emotion and
action as the means by which people perceive and cope with events in their social world. The
theory distinguishes between problem-focused and emotion-focused coping. According to
Lazarus (2001, p. 48), problem-focused coping is aimed at “obtaining information on which to
act and mobilize actions for the purpose of changing reality”, whereas “the emotion-focused
function is aimed at regulating the emotions tied to the situation”. Following Smith (1993), van
Zomeren et al. (2004) propose an extrapolation of the appraisal theory of emotion to the group
level, because group members who perceive disadvantages as collective appraise events in group
rather than individual terms.
By integrating various explanations offered in previous theory and research on protest
participation, van Zomeren et al. (2004) created a dual path model, consisting of an instrumental
and a group-based anger path, to explain protest participation. Group efficacy and action support
play a central role in the instrumental pathway. Group efficacy is one’s collective belief that
group-related problems can be solved by collective efforts (Bandura, 1997). Action support
implies willingness of other group members to engage in collective action. Unfairness or
illegitimacy and social opinion support play a central role in the group-based anger pathway.
Following social psychological grievance literature, van Zomeren et al. hold that it is more often
the procedures that lead to unfair outcomes than the outcomes per se that upset people. In
addition to such procedural unfairness, social opinion support is proposed as the mechanism that
helps to define the experienced unfairness as collective and shared. Social opinion support refers
to the group members’ appraisal that their fellow group members share their opinion about the
experienced unfairness. Appraisals such as unfairness (Miller, 2000) and emotional social
support (Mackie, Devos & Smith, 2000) are believed to promote collective action because they
evoke emotions such as anger (Smith, 1993). Van Zomeren et al. (2004) relate problem-focused
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16
coping to the instrumental pathway to collective action and emotion-focused coping to the
emotion pathway.
Van Zomeren et al.’s (2004) model shows the importance of emotions as motivators in
spurring action intentions, and once again the emotion pathway does not replace the instrumental
pathway. Furthermore, the dual path model with an instrumental and emotion pathway to
collective action implies that both pathways go together and in fact reinforce one another. If
people can engage in both emotion-focused and problem-focused coping rather than only
emotion-focused coping, their collective action tendencies tend to be higher. Indeed, perceiving
instrumental support may also enhance perceptions of emotional support; however, perceiving
emotional support does not necessarily enhance instrumental support (van Zomeren et al., 2004).
Perceived action support and group efficacy enhance the expectation that other group members
share your opinion, why would they otherwise (be willing to) participate in protest? But shared
social opinion (i.e., emotional social support) does not necessarily reinforce perceived group
efficacy (i.e., instrumental social support). Indeed, group efficacy is an intergroup perception (to
what extent is my group able to change the intentions of another group?), whereas emotional
social support is an intragroup perception (to what extent do group members share my opinion?).
Therefore, it makes sense that the perception that other group members share one’s opinion (i.e.,
intragroup emotional support) does not necessarily make the group a powerful opponent in the
political arena (i.e., an intergroup perception about power and status).
The model reveals yet another reason why free riding is less a problem than suggested by
Olson (1965). Olson’s protesters were just rational beings. Simon et al. (1998) show that
identification processes help to overcome free riders’ dilemmas, while the emotional path points
to emotion regulation as a mechanism to overcome free riding. After all, “the emotion-focused
coping function is aimed at regulating the emotions tied to the situation” (Lazarus, 1991, p. 48),
and one way to regulate these personally experienced emotions is to participate in collective
action. Therefore emotional-focused coping makes free riding less likely, because one might take
a free ride on the production of a collective good, but one cannot take a free ride on one’s own
personal emotions. It is true that one way to regulate these personal experienced emotions is to
participate in collective action, and expressing one’s view with like-minded people may function
as an emotional valve, but if and only if one participates.
A basic assumption underlying the model is that collective disadvantages lead to a salient
identity leading to five group-based building blocks: social action support, group efficacy,
procedural unfairness, social opinion support and group-based anger. Since the group plays such
an important role in the model, one may wonder what the influence of identity strength might be.
INTRODUCTION AND THEORETICAL BACKGROUND
17
Identification processes influence both instrumental reasoning (McCoy & Major, 2003) and
emotions experienced as a group member (Yzerbyt, Dumont, Wigboldus & Gordijn, 2003).
Therefore, it seems reasonable to expect that identification with the group involved influences
both the instrumental and emotional pathway to protest participation. Moreover, as indicated,
identifying more or less strongly makes a real difference, especially in political contexts (Huddy,
2001). In addition to identity salience, we propose to give identity strength a more prominent
place in models predicting protest participation. We will return to this when we introduce our
integrative model of the instrumental, identity, ideology and group-based anger paths.
Now that we have briefly discussed the state of the art with regard to social psychological
approaches to protest behaviour, we turn to our own approach to protest participation.
1.3 Introduction of a new social psychological approach to protest participation.
Social psychologists, so far, have proposed three possible pathways that are relevant for
participation in political protest: instrumentality, identity and group-based anger. Our own
approach to protest participation is aimed at improving and expanding on these approaches. The
findings with regard to both dual path models show that independent paths of, respectively,
instrumentality and identity, and instrumentality and emotions, account for a significant
proportion of the variance in willingness to participate in collective action. We propose that these
approaches are not competing paradigms, but rather that the one compensates for the weaknesses
of the other. This suggests that a model that encompasses the three pathways—instrumental,
identity and emotional—might explain more variance in predicting protest behaviour than each
motive separately or any possible twin. Indeed, one of the objectives of this dissertation is to
integrate the three motives in a single model.
Nonetheless, we are not completely satisfied with the three pathways alluded to in the
literature. First of all, we feel that an important element is missing. In his discussion of
fundamental motives for people to participate in social movements, Klandermans (2003; 2004)
refers to ideology in addition to instrumentality and identity (in 2004 the group-based anger path
appeared in the literature). Klandermans was neither the first nor the only one to mention these
three fundamental motives explaining motivation. Indeed, “it has a long history in functional
theories of attitudes and behaviour (see Sears, 1979; Sears & Funk, 1991)”, so states
Klandermans (2003, p. 701). Recently, related triads have been proposed as antecedents of
attitude importance (Boninger, Krosnick & Berent, 1995) and cooperative behaviour (Tyler &
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18
Blader, 2000). Therefore we hold that, in addition to instrumentality, identity and group-based
anger, ideology can explain a person’s motivation to participate in protest too. This would, then,
make for four motivational pathways: people with an instrumental motive, who participate
because they see it as an opportunity to change, at affordable costs, a state of affairs with which
they are unhappy; people with an identity motive, who participate because they identify with the
others involved; people with a group-based anger motive, who participate because it helps them
to regulate the emotions tied to the situation; and people with an ideology motive, who
participate because they want to express their view (Klandermans, 2004). In the next section, we
elaborate on these pathways.
If one considers various paths individuals might take on their way to participation, the
question arises as to what factors determine which path is taken. This brings us to choices people
make and decisions people take. The approaches discussed all make assumptions and theorize
about human motivation. Therefore, an elaboration of the nature of motivation will be useful.
When and why does someone take one pathway rather than another? Will a specific pathway
prevail in some contexts? The answer to these kinds of questions presupposes a steering
mechanism. Hence, in addition to our four possible routes to collective action, we conceive of a
steering mechanism that helps to explain why one route to protest participation will prevail over
another. Regulatory focus is the mechanism we propose. Regulatory focus refers to the process of
self-regulation that can be pursued either with approach-oriented means or with avoidanceoriented means Higgins (1997; 1998). As previously mentioned, self-regulation dominated by
strategic means that are approach-oriented is called promotion-focused, and self-regulation
dominated by strategic means that are avoidance-oriented is called prevention-focused.
Self-regulation can be seen as an adjustment of the self to a changing social and political
environment. Indeed, participation because of common interests requires a shared interpretation
of who should act, why, and how. Therefore, social movements do their utmost to explain how
they interpret a situation. Social movement scholars conceptualize this process of meaning
construction as framing; but, as there is an abundance of frames in the environment, why would
one movement’s campaign be more appealing than another’s? We will investigate whether
regulatory focus determines which collective action frame will be persuasive for whom. As
mentioned in the introductory part of this chapter, a basic assumption holds that a match between
a movement’s frame and the person’s regulatory state—a situation Higgins (1997; 1998) calls
regulatory fit—will make a frame more appealing to that person. We will investigate whether
organizations that frame a protest activity in promotion terms attract more promotion-focused
than prevention-focused protesters, and whether organizations that frame a protest activity in
INTRODUCTION AND THEORETICAL BACKGROUND
19
prevention terms attract more prevention-focused than promotion-focused protesters. In other
words, is regulatory fit the mechanism that explains the chemistry between the individual
protester and the mobilizing context?
Next to regulatory fit as an explanatory principle for why a specific mobilization
campaign appeals to one person rather than another, regulatory focus might be the reason why
individuals tend to take different paths to protest. We will examine whether regulatory focus
“controls” which path individuals take to protest. For example, are promotion- rather than
prevention-focused protesters inclined to take the ideology pathway to collective action?
In summary, we propose that a social psychological approach to political protest
participation contains the following building blocks: participation motives and regulatory focus
as a motivational steering mechanism making individuals inclined to take one route rather than
another. In the following sections, we first elaborate on the four paths to protest participation and
propose an integrative model resulting from existing theories on protest literature. Thereafter, we
extend this model by including a motivational component. Therefore, we elaborate on regulatory
focus theory. Finally, we integrate regulatory focus theory and our proposed protest participation
model and hypothesize on which path will prevail in what social movement context, and how
individual regulatory focus might control the pathway taken to political protest participation.
1.3.1 Instrumental path to protest participation.
The instrumental path is theoretically rooted in Klandermans’s (1984) social psychological
expansion of resource mobilization theory, namely, that protest participation with an instrumental
goal stems from the assessment that some aims (social or political change) are attainable, at
affordable costs, through collective action participation. In other words, protest participation is
seen as a rational choice following from the expectation that protest will yield certain outcomes
and the values of those outcomes. This participation motive resembles the instrumental pathway
to collective action participation proposed by Klandermans (1984), Simon et al. (1998) and van
Zomeren et al. (2004). As defending personal or group interests is the rationale to participate,
purposefulness is central in this motive. When people take the instrumental path to political
protest, they participate “for the purpose of changing reality” (Lazarus, 1991, p. 48). In other
words, people taking the instrumental route are involved in problem-focused coping oriented
toward instrumental strategies expected to improve their situation (see van Zomeren et al., 2004).
Collective action is seen as an instrumental strategy to improve the situation of the group.
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1.3.2 Identity path to protest participation.
An identity motive refers to the circumstance that people identify with the others involved. This
participation motive is theoretically rooted in the identity pathway to collective action proposed
by Simon et al. (1998). People participate not so much because of the outcomes associated with
participation but because they identify with the other participants. For people taking the identity
path to protest participation, the focus changes from what “I” want to what “we” want (Brewer &
Gardner, 1996). Collective action participation is seen as a way to show who “we” are and what
“we” stand for, and people experience commitment and solidarity with other members of the
group. Moreover, group members have the idea that “we” have much in common (by way of
shared grievances, aims, values or goals).
1.3.3 Group-based anger path to protest participation.
Raising one’s voice can be seen as emotional coping (van Zomeren et al., 2004). In other words,
participating in collective action because of group-based anger is aimed at regulating the
emotions tied to the social or political event. Thus, participating in collective action can be seen
as an individual emotional catharsis, that is, a purging of emotions through expression, which
makes participating in collective action because of a group-based anger motive a goal in itself.
This path is theoretically rooted in the group-based anger path of van Zomeren et al. (2004).
1.3.4 Ideology path to protest participation.
The ideology path to protest participation refers to people’s values and the assessment that these
values have been violated. As Klandermans (2004, p. 365) states: “People are angry, develop
feelings of moral indignation about some state of affairs or some government decision, and wish
to make that known. They participate in a social movement not only to enforce political change
but to gain dignity in their lives through struggle and moral expression”.
A fundamental assumption on which this path relies is that people’s willingness to
participate in political protest depends to a significant extent on their perception of a state of
affairs as illegitimate (see van Zomeren et al., 2004), in the sense that it goes against fundamental
values. An individual’s personal set of values is believed to strongly influence how, for example,
a proposed policy, its ends and means, is perceived and evaluated.
According to Rokeach (1973, p. 5), a “value is an enduring belief that a specific mode of
conduct or end-state of existence is personally or socially preferable to an opposite or converse
mode of conduct or end-state of existence. A value system is an enduring organization of beliefs
INTRODUCTION AND THEORETICAL BACKGROUND
21
concerning preferable modes of conduct or end-states of existence along a continuum of
relative importance”. For Schwartz (1992, p. 4),
“values (1) are concepts of beliefs, (2) pertain to desirable end states or behaviors, (3)
transcend specific situations, (4) guide selection or evaluations of behavior and
events, and (5) are ordered by relative importance. Values, understood this way,
differ from attitudes primarily in their generality or abstractness (feature 3) and in
their hierarchical ordering by importance (feature 5)”.
In principle, then, the distinction between attitudes and values is clear. “Attitudes refer to
evaluations of specific objects while values are much more general standards used as basis for
numerous specific evaluations across situations” (Feldman, 2003, p. 481).
Hence, conceptualized in this manner, values are individual phenomena about which
people usually feel strongly. They defend them in a variety of ways and react strongly when their
values are challenged or frustrated (Feather & Newton, 1982). Indeed, “values are standards
employed to tell us which beliefs, attitudes, values, and actions of others are worth challenging,
protesting, and arguing about, or worth trying to influence or change” (Rokeach, 1973, p. 13).
Therefore we assume that participating in collective action based on an ideology motive is
grounded in a perceived violation of one’s values.
As already stated, raising one’s voice can be seen as emotional coping (van Zomeren et
al., 2004). Participating in collective action is—in addition to integrity maintenance—aimed at
regulating the emotions tied to the social or political event. Thus, participating in collective
action can also be seen as an individual emotional catharsis, which is a purging of emotions
through expression. Both integrity maintenance and emotional catharsis make participating in
collective action out of ideological goals a goal in itself. We argue that moral integrity
maintenance and emotional coping work as an inner obligation. Maintaining one’s moral
integrity and emotional coping each may incite an inner moral obligation to oneself, versus the
inner social obligation to other group members incited by group identification. Indeed, besides
identification and emotional coping, moral integrity maintenance might serve as a third
mechanism to overcome the free riders’ dilemma built into the instrumental pathway.
1.3.5 An integrative model of the instrumental, identity, ideology and group-based anger paths.
In social movement research, little is known about the relative weight of instrumentality, identity,
ideology and group-based anger (Klandermans, 2003). From the research of Klandermans (1984),
Simon and colleagues (Simon et al., 1998; Stürmer & Simon, 2004, Stürmer et al., 2003) and van
Zomeren et al. (2004), we know that at least instrumentality, identity and group-based anger
CHAPTER 1
22
paths have their impact, but how do they work together? Do they add to each other, or do they
interact? Are they correlated or independent determinants of participation? The findings with
regard to the dual path models of Simon and colleagues and van Zomeren et al. show that
independent paths of, respectively, instrumentality and identity, and instrumentality and groupbased anger, account for a significant proportion of the variance in the willingness to participate
in collective action. In the protest literature so far, three independent pathways to protest
participation come to the fore, but we propose ideology as a fourth path. We are not aware of
studies investigating all three pathways (let alone all four pathways) to protest participation in
one study, but the results of the two dual path models suggest that instrumentality, identity and
group-based anger represent three independent pathways to protest participation, and we presume
that ideology functions as an independent path as well.
One may, of course, also wonder whether the four are in fact independent. We presume
that this is unlikely, if only because the group-based emotions literature available in social
psychology suggests otherwise. Take, for example, intergroup emotions theory (Smith, 1993;
1999; Mackie et al., 2000) from where the group-based anger path of van Zomeren and
colleagues (2004) theoretically stems. In an attempt to move beyond an individualized context,
Smith (1993; 1999) builds upon self-categorization theory (Turner et al., 1987) and proposes a
model of social emotions in which people are thought to be able to experience emotions on behalf
of their group. According to intergroup emotions theory, people not only categorize themselves
as group members, but care about situations or events affecting the ingroup as well.
Since intergroup emotions theory is based on the presumption that the group is
incorporated in the self (“the group is in me”, thus “I feel for us”), one would assume that the
more the group is in me (i.e., the higher the identification with the group), the more people
experience group-based emotions. Smith and colleagues have not applied this litmus test, since
they use the salience paradigm. Yzerbyt et al. (2003), however, did, and showed that emotional
reactions fully mediated the impact of categorization context and identification on action
tendencies. In other words, the salience of similarity was found to generate angry feelings among
participants only to the extent that they strongly identified with the relevant category. Thus,
people will experience group-based emotions when the social category is salient and when they
identify with the group at stake.
The findings of Yzerbyt et al. (2003) might point to a protest participation model that
departs from a model with four independent paths. After all, these findings suggest that groupbased emotions mediate between group identification and action tendencies, which, translated to
our model, might suggest that group-based anger mediates on identity motives and the
INTRODUCTION AND THEORETICAL BACKGROUND
23
willingness to participate in collective action. Indeed, the dual path model of van Zomeren and
colleagues (2004) allows for the influence of social identity on protest participation through the
concept of identity salience. However, the findings of Yzerbyt and colleagues (2003) suggest
that, in a model based on identity strength, the group-based anger path might mediate between
identity motives and motivation to participate.
Nonetheless, based on the evidence of Simon and colleagues (Simon et al., 1998; Stürmer
& Simon, 2004; Stürmer et al., 2003) we assume that both identity and instrumental motives
influence motivational strength directly as well. Moreover, as indicated, we hypothesize that
ideology motives will have a direct effect on motivation too. Therefore, the first step in building a
model that will account for protest participation is to propose a model explaining protest
participation comprised of four direct pathways: instrumental, ideology identity, and group-based
anger and one indirect pathway: identity via group-based anger. The next step in building our
model is based on the assumption that group identification influences the reasons why people
participate in political protest.
Identity motives as moderator.
Group identification is an awareness of similarity, ingroup identity and shared fate with others
who belong to the same category (Brewer & Silver, 2001). It has pervasive effects on what
people feel, think and do (Terry & Hogg, 1996). According to self-categorization theory (Turner
et al., 1987), people are likely to self-stereotype as a function of their level of identification with
the group. Strong identifiers are expected to adopt the prototypical behaviours of the ingroup to a
greater extent than weak identifiers. In fact, when identification with the group is strong, group
interests are internalized and adopted as self-interests (Turner et al., 1987). Tyler and Bladel
(2003, p. 352) maintain precisely the same as social categorization theory: “identity judgments
will be the primary factors shaping attitudes, values, and cooperative behaviours in groups”. If
identity judgments shape attitudes, values and cooperative behaviours (Turner et al., 1987; Tyler
& Bladel, 2003), they might shape the reasons why people participate, in other words, their
participation motives. In statistical terms, we hypothesize that identity motives moderate the
relation between instrumental and ideology motives.
Instrumental and ideology motives as mediator.
Group members are not just angry, they are angry about some state of affairs or some government
decision. We presume that groups can be angry for instrumental and ideology reasons. Therefore,
we hypothesize that identity motives influence group-based anger motives indirectly via their
CHAPTER 1
24
influence on instrumental or ideology motives. In statistical terms, we hypothesize that
instrumental and ideology participation motives mediate the relation between identity and groupbased anger motives.
Integrated mediator-moderator model.
Figure 1.1 displays the model as developed in the previous section. The model aims to account
for motivational strength, that is, the strength of the motivation to participate. Although many
people may sympathize with the goals of social movements often only a small percentage
actually participate in collective action to achieve these goals. Klandermans & Oegema (1987)
developed a model of social movement participation addressing this issue. According to this
model becoming a participant in a social movement can be conceived of as a process involving
four different steps: First, people have to sympathize with a movement and thus become part of
the mobilization potential; second, they have to be targeted by mobilization attempts; third, they
must develop the motivation to participate in particular collective actions, and forth and finally
they must overcome possible barriers to participate. The in this thesis presented research
examines the motivational strength of people actually participating and not the often applied
motivation to participate in future protest events. In other words, the present research focuses
primarily on Step 3 and 4 of the Klandermans’ model.
Sampling those people that actually participate, implicates, by definition, that these
people are motivated and overcame possible barriers. However, this does not necessarily imply
that all people ending up participating were equally motivated. On the contrary, one may assume
that the strength of the motivation of the people who end up participating varies. It is this
variation that we are interested in.
instrumentality
group-based anger
identity
motivational
strength
ideology
Figure 1.1.
Integrated mediator-moderator model accounting for motivational strength to participate in political
protest.
INTRODUCTION AND THEORETICAL BACKGROUND
25
In the first place, the model depicts the four direct paths from instrumental, identity, ideology,
and group-based anger motives to motivational strength. In addition to these direct paths, several
indirect paths are mapped. The mediator model assumes that identity motives influence groupbased anger motives indirectly via their influence on instrumental or ideology motives. The
moderator model assumes that weak and strong identifiers differ in their inclination to employ
instrumental or ideological motives. As a consequence, instrumental and ideological participation
motives are stronger predictors of group-based anger for strong rather than weak identifiers.
Indeed, identity plays a major role in the model. The most important prediction of this model is
that for strong identifiers, group identification influences group-based anger motives via its
influence on instrumental or ideology motives. For weak identifiers, however, identity motives
will be of minor importance, therefore we hypothesize that weak identifiers will start at the
instrumental or ideological pathway directly. In other words, identity motives moderate the
mediators (instrumental and ideological motives).
Social movement context as moderator.
Earlier we distinguished three action orientations (power, value and participation) that can
determine the course of a mobilization campaign, as outlined by Turner and Killian (1987).
Following Klandermans (1993), we assume that, depending on their action orientation,
movements appeal to different participation motives. “The more power-oriented a campaign is,
the more strongly it will emphasize the movement’s effectiveness, its ability to exert influence.
Therefore, a movement must convince the individual that the planned action will be successful. If
it does not succeed in convincing potential participants—if its effectiveness seems dubious —an
individual will have little reason to participate” (Klandermans, 1993, p. 389). Because
participation on the basis of an instrumental participation motive implies that participation is seen
as an opportunity to change a state of affairs at affordable costs, we assume that a power-oriented
protest event will be appealing to people with an instrumental motive.
“The more value-oriented a campaign is, the more it will emphasize the importance of its
goals and the ideology behind them” (Klandermans, 1993, p. 389) and the more it will give
participants the opportunity to express their discontent with a given state of affairs. Because
participation on the basis of an ideology motive is aimed at expressing one’s views and venting
one’s anger against a target that has violated one’s values, we assume that protest events with a
value-action orientation will be appealing to people with ideology motives.
“Participation-oriented campaigns emphasize the opportunity for individuals to engage in
activities that are satisfying in and of themselves. Accordingly, a participation-oriented campaign
CHAPTER 1
26
appeals to selective incentives” (Klandermans, 1993, p. 389). In participation-oriented actions,
people participate because participation in itself is perceived as satisfying; therefore we presume
a direct route from identity motives to motivational strength.
Translated into the mediator-moderator model presented here, we hypothesize that, in the
context of power-oriented protest, the group-based anger of high identifiers is reinforced by
instrumental motives, identity motives moderate instrumental motives, which in their turn
mediate between identity and group-based anger. In the context of value-oriented protest, the
group-based anger of high identifiers is reinforced by ideology motives, identity motives
moderate ideology motives, which in their turn mediate between identity and group-based anger.
And, although we have no data on participation-oriented protest events, we assume that identity
motives will influence motivational strength directly in the context of participation-oriented
protest. After all, participation with others involved in itself is perceived as satisfying, suggesting
that participants need no other motivational force to be spurred into participation.
In summary, following Klandermans (1993), we assume that, depending on their action
orientation, movements appeal to different participation motives. As a result, our mediatormoderator model, in its turn, will be moderated by the social movement context. As a
consequence, we hypothesize that group identification (i.e., identity motives) moderate different
mediators in power- and value-oriented protest.
In building our model we started off with four possible routes to protest participation:
instrumental, identity, ideology and group-based anger motives. Our next step was to theorize
about the possible effects of identity salience versus identity strength on group-based anger.
Based on findings of Yzerbyt et al. (2003), we concluded that, in a model accounting for protest
participation, the effects of identity strength (i.e., identity motives) might be mediated by groupbased anger. This resulted in four direct paths to protest participation: instrumental, identity,
ideology, and group-based anger and one indirect: identity via group-based anger. The next step
in our reasoning suggested that weak and strong identifiers differ in their inclination to employ
instrumental or ideology motives. This introduced the moderating effects of identity on
instrumental and ideology motives. Subsequently, we introduced a mediation hypothesis, holding
that identity motives influence group-based anger motives indirectly via their influence on
instrumental or ideology motives. Then, we combined the moderation and mediation hypothesis
into an integrated mediator-moderator model accounting for the strength of motivation to
participate in political protest. Finally, we introduced the moderating effects of the social
movement context on the mediator-moderator model: the social movement context may influence
which path will be taken.
INTRODUCTION AND THEORETICAL BACKGROUND
27
We will test the proposed model in the context of two different social movement
campaigns: a power-oriented and a value-oriented campaign. As a consequence we will not be
able to test our hypotheses regarding participation-oriented campaigns.
The proposed model, so far, operates within an existing theoretical framework derived from
protest literature. The last step in building our theory is to account for regulatory processes
controlling the paths taken to protest participation. We presume that regulatory focus influences
how people interpret and evaluate their (political) environment and explains why one route to
protest participation will prevail over another. Indeed, we presume that regulatory focus
moderates the paths taken to protest participation.
1.4 Regulatory Focus Theory
What makes people take one possible action rather than another? Indeed, what makes people
participate in one possible collective action rather than another? These questions refer to
motivation. If one were to choose a single term for what is meant by motivation, it would be the
verb “to want”. This one term captures in everyday language a wide variety of relevant meanings,
for example: to have or feel need of, to be necessary (require); to wish or demand the presence
of; to desire to come, go, or be; to have a strong desire for or inclination to (like); to fail to
possess (lack).
What motivates people to do or not to do something in the context of what is important to
them is in (social) psychological terms a matter of self-regulation. Self-regulation refers to the
process by which people formulate objectives to attain personal goals, plans, or standards and
apply strategies to realize those goals (Mischel, Cantor & Feldman, 1996). As previously
mentioned, Higgins proposed a motivation theory based on this self-regulation principle:
regulatory focus theory (Higgins, 1997; 1998). Given that the root of the term “motivation” is “to
move”, it is not surprising that a classic way of thinking about motivation is in terms of approach
(moving toward) and avoidance (moving away from). This so called hedonic principle underlies
motivational models across all levels in psychology: for example, the appetitive system involving
approach and the aversive system involving avoidance (Lang, 1995) and approach tendencies of
individuals with a “hope of success” and the avoidance tendencies of individuals with a “fear of
failure” (Elliot & Trash, 2002; 2004). It is clear from these models and the empirical support they
have acquired that people are motivated to approach pleasure and to avoid pain. In regulatory
focus theory, approach and avoidance is conceptualized in terms of strategic means for self-
CHAPTER 1
28
regulation. Higgins argues that self-regulation can be pursued through means that are either
approach-oriented or avoidance-oriented. However, according to regulatory focus theory, people
employ substantially different strategies when they approach pleasure and when they avoid pain.
Self-regulation dominated by strategic means that are approach-oriented is called promotionfocused, and self-regulation dominated by strategic means that are avoidance-oriented is called
prevention-focused. These two modes of self-regulation are the source of different goals, needs
and values and have distinctive cognitive, emotional and behavioural consequences for how
people respond to their social environment (Higgins, 1998). Figure 1.2 gives a schematic
representation of Regulatory Focus Theory.
- avoidance strategic mean
- ought goals
- security needs
- tradition/conformity values
- no-loss / loss
- vigilance
- approach strategic mean
- ideal goals
- nurturance needs
- self-direction/stimulation values
- gain/no-gain
- eagerness
prevention-focus
promotion-focus
actual
state
Figure 1.2.
A schematic representation of regulatory focus theory (Higgins, 1997; 1998) with the goals, needs and
values triggering, respectively, a prevention-focus and a promotion-focus.
Individuals can differ in their chronic promotion-focus on hopes, aspirations and
accomplishments versus chronic prevention-focus on duties, obligations and safety. Differences
in chronic regulatory focus can arise from differences in the quality of parental involvement (see
Higgins & Silberman, 1998). A child-parent relationship characterized by encouraging
accomplishments and withdrawing love as discipline produces strong ideals, representing hopes
and aspirations and promotion concerns with accomplishments and advancements. In contrast, a
history of protection and using punishment as discipline produces strong oughts, representing
duties and obligations and prevention concerns with safety and security (see Higgins &
Silberman, 1998). In addition to varying chronically across individuals, regulatory focus can vary
INTRODUCTION AND THEORETICAL BACKGROUND
29
across situations. Regulatory focus can be induced temporarily in momentary situations. Just as
the responses of caretakers provide promotion or prevention feedback, task feedback or task
instructions concerning which actions will produce which consequences can induce regulatory
focus by communicating gain/non-gain information (promotion) or non-loss/loss information
(prevention). More generally, gain and non-gain situations will induce a promotion-focus,
whereas non-loss and loss situations will induce a prevention-focus.
We propose that self-regulation can be seen as an adjustment of the self to a changing
social and political environment. Recently, studies relating self-regulation to intergroup
behaviour (Levine, Higgins, & Choi, 2000; Sassenberg, Kessler & Mummendey, 2003; Shah,
Brazy & Higgins, 2004) have shown that self-regulation processes apply to both personal and
social identity. Therefore, we hold that social and political changes may be perceived as a threat
to one’s personal or group-based goals, needs and values. Given the far reaching and diverse
implications of the two self-regulatory foci on perceiving the social and political world, we
assume that they also influence the reason(s) why people are motivated to participate in political
protest. We hold that motivation to participate in protest for prevention-focused and promotionfocused people stems from threats to fundamentally different goals, needs and values. Therefore
we presume that regulatory focus influences who participates in collective action, and when and
why they do so.
Because regulatory focus theory has been extensively covered elsewhere (e.g., Higgins,
1997; 1998), we will only discuss the distinct goals, needs and values relating to the two foci and
regulatory fit.
1.4.1 Distinct goals, needs and values.
A common denominator of goals, needs and values is that they motivate people. The regulatory
foci control which goals, needs and values motivate whom.
Goals. Motivation stems from attaining personal or group goals. Self-regulating
behaviour is the process by which people initiate, adjust, or stop actions in the pursuit of such
goals. Promotion-focused self-regulation is more likely in the pursuit of goals that are related to
advancement and accomplishment (ideal goals). Promotion-focused people are concerned with
the presence or absence of positive outcomes and their strategic inclination is approach in a state
of eagerness. Successfully attaining an ideal goal is perceived as a gain, whereas failing to attain
an ideal goal is seen as a non-gain. Prevention-focused self-regulation, on the other hand, is more
likely in the pursuit of goals that are related to security and protection (ought goals). Preventionfocused people are concerned with the presence or absence of negative outcomes and their
CHAPTER 1
30
strategic inclination is avoidance in a state of vigilance. Successfully attaining an ought goal is
perceived as a non-loss, whereas failing to attain an ought goal is perceived as a loss.
Needs. A felt need is a “force that organizes perception, apperception, intellection,
conation and action” (Ronen, 1994, p. 242). These forces create a state of tension that an
individual attempts to relieve through appropriate actions. The theory of self-regulatory focus
begins by assuming that the hedonic principle should operate differently when serving
fundamentally different needs, such as the distinct survival needs of nurturance (nourishment and
psychological growth and development) and security (e.g., protection and safety). Nurturancerelated regulation involves a promotion-focus, whereas security-related regulation involves a
prevention-focus.
Values. Violated values are strong motivators (Feather & Newton, 1982; Rokeach, 1973;
Schwartz, 1992). Promotion-focused people are motivated by a violation of self-direction values
(independent thought and action choosing, creating and exploring) and stimulation values
(excitement, novelty and challenge in life, Van-Dijk & Kluger, 2004). Prevention-focused
people, in contrast, are motivated by violation of tradition values (respect, commitment, and
acceptance of the customs and ideas that traditional culture or religion provide), conformity
values (restraint of actions, inclinations, and impulses likely to upset or harm others and violate
social expectations or norms) and security values (safety, harmony and stability of society, of
relationships and of self, Van-Dijk & Kluger, 2004).
1.4.2 Regulatory focus as moderator of the paths taken to protest participation.
Given the fundamentally different goals, needs and values that motivate prevention-focused and
promotion-focused people, we hypothesize that regulatory focus moderates the reasons why
people are motivated to take part in collective action. In other words, does regulatory focus
moderate the paths taken to protest participation?
How may these distinct goals, needs and values relate to the proposed participation
motives? Because prevention- and promotion-focused people are concerned with pursuing
specific goals and fulfilling distinct needs, we propose that promotion- and prevention-focused
protesters with an instrumental participation motive want to solve distinct problems by protest
participation. This leads to the first assumption: prevention-focused people are motivated to take
the instrumental pathway when security needs are threatened, and protection and responsibility
goals are obstructed; and promotion-focused people are motivated to take the instrumental
pathway when nurturance needs are threatened, and growth and advancement goals are
obstructed (hypothesis 1).
INTRODUCTION AND THEORETICAL BACKGROUND
31
Assumptions regarding an identity pathway follow from the distinction between ought
and ideal goals. As described, strong identification with a group makes participation on behalf of
that group more likely due to a felt inner obligation to behave as a “good” member (Stürmer et
al., 2003). Because oughts (which tend to trigger a prevention focus) involve duties, obligations
and responsibilities that generally are interpersonal, whereas ideals (which trigger a promotionfocus) involve aspirations that are often personal (Pham & Higgins, 2005), we propose that a
group norm to participate in collective action (i.e., employ an identity participation motive) will
carry more weight for prevention-focused people than for promotion-focused people. In other
words, we hypothesize that prevention-focused people are more inclined to take the identity
pathway to protest participation than promotion-focused people (hypothesis 2).
Prevention- and promotion-focused people prioritize also differential values. Therefore
we assume that the motivation to take the ideology path to political protest stems from violation
of distinct values: prevention-focused people are motivated to take the ideology pathway to
collective action when tradition, conformity or security values are violated, and promotionfocused people when self-directed and stimulation values are violated (hypothesis 3).
Prevention- and promotion-focused protesters are both angry, although for different
reasons. Therefore, we assume that for prevention-focused protesters and promotion-focused
protesters group-based anger motives are equally important (hypothesis 4).
1.4.3 Regulatory fit: social movement context and regulatory focus.
Regulatory focus theory predicts that information that is consistent with the regulatory focus
should have more impact than information that is inconsistent with this focus (Higgins, 1997;
1998). Two types of mechanisms have been proposed to account for this match between
information and the person’s regulatory state—a situation Higgins calls regulatory fit.
First, it could be that a promotion- or prevention-focus calls attention to information that
is compatible with this state and increases the weight that this information receives during
judgment integration. If the weight of regulatory-focus-compatible information increases in
judgment, options that are attractive on compatible dimensions will naturally be evaluated more
favourably. Consistent with this explanation, Aaker and Lee (2001) found that, following
exposure to a promotional message, respondents had a better memory for information that was
consistent with their state of regulatory focus than for information that was inconsistent with this
state. Pham and Avnet (2004) arrived at the conclusion that information compatible with the
regulatory state was perceived to be more diagnostic than information that was not compatible.
CHAPTER 1
32
An alternative explanation is that regulatory fit creates a subjective experience of
“feeling right” that is then used as information to make evaluations (Higgins, 2000; Higgins,
Idson, Freitas, Spiegel, & Molden, 2003). Cesario, Grant and Higgins (2004) recently tested this
explanation in a persuasion context. They hypothesized and found that, for a promotion-focused
person, a message framed in eager terms feels more “right” than a message framed in vigilant
terms. Conversely, for a prevention-focused person, a message framed in vigilant terms feels more
“right” than a message framed in eager terms. These feelings of rightness are then interpreted as
meaning that the message is persuasive or that the person agrees with the message’s position.
They additionally found that this effect disappeared when the actual source of the feelings was
made salient before message exposure. This latter finding supports the idea that the phenomenon
is driven by a misattribution of the feelings of rightness to the object being evaluated (see Schwarz
& Clore, 1983, cited by Pham & Higgins, 2005).
The regulatory fit hypothesis may influence the persuasiveness of a collective action
frame. Although our social and political environment provides an abundance of frames,
regulatory fit may explain when and why people adopt certain frames while neglecting others.
We hold that social or political change framed in promotion terms will attract more promotionfocused people, whereas social or political change framed in prevention terms will attract more
prevention-focused people (hypothesis 5).
Studies on regulatory fit have found various effects of regulatory fit. Regulatory fit
increases the intensity or strength of activity engagement, which in turn can increase performance.
When people imagine prospective events during the decision-making process, regulatory fit
increases the imagined pleasure of positive events and the imagined pain of negative events. When
a decision is made with regulatory fit, people are more satisfied with the decision and evaluate it
more favourably. They also “feel right” about their decision and believe that what they did was
right and fair. Finally, the value experienced on making a decision with regulatory fit is
transferred to the outcome of the decision, such that the outcome is perceived as more valuable.
These regulatory fit effects have been shown to be independent of just the positive or negative
mood of the decision makers (Higgins, 2000; Higgins et al., 2003).
1.5 This study
In conclusion, collective action is a collective response to a collectively experienced threat. We
assume that individual self-regulation proceeds from a reaction to threatened but valued ought or
ideal group goals, needs and values. Subsequently, these self-regulation processes are assumed to
INTRODUCTION AND THEORETICAL BACKGROUND
33
influence what collective action frame will appeal to whom. At the individual level, it is
assumed that self-regulation processes control which path protesters take to participation in
political protest events. Thus, as a consequence of chronic self-regulatory processes, people are
inclined to take the instrumental, identity or ideology path to protest participation. Moreover,
prevention-focused protesters and promotion-focused protesters are both angry, although for
different reasons.
Testing the hypotheses based on the argumentation so far, will be dealt with in the
following chapters.
34
Chapter 2. Development and validation of RFQ-proverb.
Two types of measures of regulatory focus can be distinguished3. The first type is based on the
assumption that chronic ideal goals or ought goals, that is self-guides, involve a promotion-focus
or prevention-focus, respectively. The presumption is that the stronger the ideal or ought goals,
the stronger the corresponding regulatory focus. Accordingly, these measures indirectly assess
regulatory focus. In this first type of measure, Selves Questionnaires are applied (Higgins, 1987)
and a measure is derived from these questionnaires, the Strength-of-Guide measure.
The second type of measure uses questionnaires and is developed to tap into regulatory
focus directly. Two Regulatory Focus Questionnaires (RFQ) have been published. Higgins et al.
(2001) designed the first RFQ to assess individuals' subjective histories of success in promotion
and prevention self-regulation strategies. The second was designed to measure promotion and
prevention goals in relation to positive or negative role models (Lockwood, Jordan & Kunda,
2002). However, in our search for a reliable and valid RFQ we ran into several problems (which
we will elaborate on in the next section) with the existing measures; this made us decide to
develop a new instrument. In this chapter we describe the development and validation of this
instrument. First we give an overview of the existing assessment techniques to measure chronic
regulatory focus, that is, the Selves Questionnaires, Strength-of-Guide measure and the two
RFQs. This overview is confined to chronic regulatory focus because this is what we wish to
measure. Next, we introduce the new measure—RFQ-proverb—and elaborate on the rationale for
using proverbs to measure regulatory focus. The remainder of the chapter concerns three studies
designed to scale characteristics, reliability, construct validity and predictive value of RFQproverb.
2.1 Available assessment techniques to measure chronic regulatory focus.
2.1.1 Selves Questionnaires
The use of Selves Questionnaires is grounded in the foundation of regulatory focus theory, selfdiscrepancy theory (Higgins, 1987). Self-discrepancy theory has been concerned with self-guides
as chronic goals, and actual-self matches and mismatches to self-guides as chronic goal
attainments, that is, chronic successes and failures, respectively (see Higgins, 1989; 1996a). The
theory postulates that, when the individuals’ represented actual selves are congruent with their
self-guides, they feel good. When they are discrepant, they feel bad. Self-discrepancy theory
USING PROVERBS TO MEASURE REGULATORY FOCUS
35
supposes two cognitive dimensions that underlie various self-state representations. These
dimensions are domains of the self and standpoints of the self.
According to self-discrepancy theory there are three basic domains of the self: (a) the
actual self, that is, one’s representation of the attributes that one believes one actually possesses;
(b) the ideal self, one’s representation of the attributes that one ideally would like to possess (i.e.,
a representation of one’s hopes, wishes or aspiration); and (c) the ought self, which is one’s
representation of the attributes that one should or ought to possess (i.e., the representation of
one’s sense of duty, obligations or responsibilities).
Paring each standpoint on the self with a domain of the self creates the six basic kinds of
self-state representations addressed by self-discrepancy theory: actual-own, actual-other, idealown, ideal-other, ought-own and ought-other.
The actual self-representations (both own and other) constitute what is typically meant by a
person’s self-concept, and the remaining self-state representations are self-directive standards or
acquired guides for being. Self-discrepancy theory proposes that people are motivated to reach a
condition in which their actual state matches their ideal or ought states; that is, where their selfconcept matches their self-guides (Hook & Higgins, 1988).
Selves Questionnaires (Higgins, Bond, Klein, & Strauman, 1986) is a measure of selfdiscrepancy that measures the extent to which current actual states match ideal and ought selfguides. Respondents are asked to list eight or ten attributes for each of the three different selfstates: (a) their actual self, (b) their ideal self and (c) their ought self. The questionnaire is
typically administered in two sections, the first involving the respondent’s own standpoint and
the second involving the standpoint of the respondent’s significant others (i.e., mother and
father). The procedure for calculating the magnitude of an ideal discrepancy or ought discrepancy
involves comparing the actual self attributes to the attributes listed in either their ideal self or
their ought self to determine which attributes in the actual self match or mismatch the attributes
of that particular self. The self-discrepancy score is basically the number of mismatches minus
the number of matches. The ideal self-discrepancy score represents the extent to which an
individual is currently failing in promotion self-regulation, whereas the ought self-discrepancy
score represents the extent to which an individual is currently failing in prevention self-regulation
(Higgins et al., 2001).
Selves Questionnaires is a method that, though widely used, has been criticized for being
too difficult for participants; this may limit its ability to obtain unique self-representations. It is
also difficult and time-consuming to score (Tangney, Niedenthal, Covert & Barlow, 1998); this
3
This chapter draws on Stekelenburg & Klandermans (2003).
CHAPTER 2
36
makes such a method less suitable for research like ours in a field setting. Furthermore, in Selves
Questionnaires participants think of their different selves in terms of descriptive attributes and do
not reflect directly on discrepancies (or congruencies), let alone on the strategic means for
regulating these discrepancies (i.e., regulatory focus). Because Selves Questionnaires are an
indirect measure of regulatory focus, Strauman (1996) made a plea for measures that were more
direct. An instrument measuring regulatory focus based on the strength rather than descriptions of
the different selves is the Strength-of-Guide measure (see Higgins et al., 2003; Higgins, Shah &
Friedman, 1997; Shah & Higgins, 1997).
2.1.2 Strength-of-Guide measure
Like the Selves Questionnaires, the Strength-of-Guide measure asks participants to list attributes
of the “selves”, but the latter is a computer measure that focuses on the response time of every
given attribute instead of discrepancies between actual and ideal/ought selves. The assumption
underlying this method is that the response time required to produce a given attribute reflects
how readily it comes to mind and, thus, its accessibility (Fazio 1986; 1995; Higgins et al., 1997).
The operationalization assumes that (a) accessibility represents activation potential and (b) stored
knowledge with higher activation potential produces faster responses. In other words, a selfguide with a high activation potential—thus often activated—produces faster responses than selfguides with a low activation potential. Furthermore, the Strength-of Guide-measure only focuses
on ideal and ought self-representations. Thus, unlike the Selves Questionnaires, the standpoint of
significant others and the above-mentioned actual selves are no longer taken into account.
Respondents are asked to provide attributes describing their ideal and ought selves.
Higgins et al. (1997) found a negative relation between the discrepancy and accessibility
of the self-guide measured by the Strength-of-Guide measure, so that (a) an increasing
accessibility of ideal self-guides reflects an increasing actual-ideal discrepancy and (b) increasing
ought self-guides reflects increasing actual-ought discrepancy. Therefore Higgins et al. suggest
operationalizing regulatory focus with the Strength-of-Guide measure.
The Strength-of-Guide measure is still the standard to assess regulatory focus in the
laboratory. Unfortunately, this operationalization lends itself only to research conducted with the
aid of computers. Moreover, researchers and respondents see it as a “time-consuming reactiontime measure of regulatory focus” (Lockwood et al., 2002, p. 861). Both computerization and the
time it consumes make this measure less suitable for research in a field setting. However, both
Higgins et al. (2001) and Lockwood et al. (2002) developed easy to administer scales as a useful
alternative to the computer assessed Strength-of-Guide measures.
USING PROVERBS TO MEASURE REGULATORY FOCUS
37
2.1.3 Regulatory Focus Questionnaire by Higgins et al.
In a recent series of studies, Higgins et al. (2001) developed and employed a measure of
individuals’ subjective histories of effective and ineffective promotion and prevention selfregulation: the Regulatory Focus Questionnaire (RFQ). They discovered that participants with a
subjective history of success in promotion or prevention self-regulation experienced a sense of
achievement pride. Moreover, depending on the type of achievement pride, goal-oriented
behaviour differed. Promotion achievement pride appeared to orient participants toward
eagerness means to attain the goal, whereas prevention achievement pride oriented participants
toward vigilance means. The promotion subscale measures individuals’ subjective histories of
promotion success with items such as “How often have you accomplished things that got you
‘psyched’ to work even harder?” and “I have found very few hobbies or activities in my life that
capture my interest or motivate me to put effort into them” (reverse scored). The prevention
subscale measures individuals’ subjective histories of prevention success with items such as
“How often did you obey rules and regulations that were established by your parents?” and “Not
being careful has gotten me into trouble at times” (reverse scored). Higher scores on either the
promotion or the prevention subscale reflect individuals’ sense of their history of promotion or
prevention success in goal attainment, respectively.
Higgins et al. (2001) report excellent scale characteristics and, subsequently, in several
studies regulatory focus has been measured with this RFQ (see Ayduk, May, Downey & Higgins,
2003; Camacho, Higgins & Luger, 2003; Grant & Higgins, 2003).
2.1.4 Regulatory Focus Questionnaire by Lockwood et al.
Nearly simultaneous with Higgins et al. (2001), Lockwood et al. (2002) created a second
Regulatory Focus Questionnaire. In this RFQ, participants indicate the extent to which they
endorse promotion goals (e.g., “I frequently imagine how I will achieve my hopes and
aspirations”; “I often think about the person I would ideally like to be in the future”) and
prevention goals (e.g., “I frequently think about how I can prevent failures in my life”; “I am
anxious that I will fall short of my responsibilities and obligations”). Like the Higgins et al.
(2001) RFQ, Lockwood et al. (2002) report excellent scale characteristics, and later studies
where this scale was applied have been reported (see Lockwood, Marshall & Sadler, 2005;
Lockwood, Sadler, Fyman & Tuck, 2004).
Lockwood et al. (2002) do not explain their motives for creating a new RFQ. However,
they do elaborate on the difference between their RFQ and Higgins et al.’s (2001) RFQ. “Higgins
and his colleagues have also measured regulatory focus by examining individuals’ subjective
CHAPTER 2
38
experiences of success in obtaining past prevention and promotion goals. Our measure of
promotion and prevention was designed to tap into the theoretical underpinnings of promotion
and prevention concerns directly, providing a concise means of assessing them” (Lockwood et
al., 2002, p. 859). Thus, whereas Higgins et al. (2001) measure subjective experiences of
successfully obtaining prevention and promotion goals, the Lockwood RFQ “assesses chronic
promotion and prevention goals directly” (Lockwood et al., 2002, p. 859).
2.1.5 Possible limitations of the RFQs of Higgins et al. and Lockwood et al.
Although the Higgins et al. (2001) and Lockwood et al. (2002) RFQs seem to be an improvement
in terms of applicability compared to the Strength-of-Guide measure, we can still identify several
aspects of the existing questionnaires that make them problematic to employ in our study. The
most important problem relates to the population to which it has been administered. Both RFQs
were administered to a student population, whereas we want to employ an RFQ in a field setting
with average citizens. An item, for example, like “How often did you obey rules and regulations
that were established by your parents?” may be applicable to students, but a union member of 78
years of age may be at least surprised to be asked such a question.
The other problems we have with the available RFQs relate to the content of the separate
items of the questionnaires. One of the problems is generalizability; if specific behaviour is taken
as an indicator, the measure may not generalize well beyond the behaviours included in the
questionnaire. Finally, Higgins et al. (2001) assert that the RFQ is carefully balanced in parental
and non-parental content between promotion and prevention. In other words, the items refer to
the socialization period with the parents. We doubt whether this is actually the case. Four of the
five items of prevention refer to this socialization period, whereas none of the six items of
promotion refers to it.
Another set of problems concerns the need to translate instruments in non-English
speaking countries. Indeed, the translation of instruments from one language to another is fraught
with difficulties (Perkins et al., 2004). “Substantive problems can occur due to an unexamined
transfer of concepts from one culture/language system to another and/or lack of equivalence in
words used to express concepts in the two languages due to differences in affect, familiarity, and
clarity. These can introduce serious biases into research, compromising the scientific integrity of
the results” (Erkut et al., 1999, p. 207). We discern that direct translation of questionnaires is one
of the most frequently used methods in social psychology in the development of non-English
versions of instruments. However, direct translations have been “repudiated as an unreliable
method for achieving language equivalence” (Erkut et al., 1999, p. 208). Ideally, the aim of a
USING PROVERBS TO MEASURE REGULATORY FOCUS
39
translation is to achieve versions of an English instrument that are conceptually, rather than
literally, equivalent. Therefore, the focus should be a concept-driven rather than a translationdriven approach to attain equivalence in instruments (Erkut et al., 1999).
Considering these problems, we felt compelled to develop an RFQ that did not have these
problems. In our search for a solution, it occurred to us that an RFQ consisting of proverbs could
be the answer. Many proverbs/sayings4 are either promotion-oriented (e.g., “Risk your neck”) or
prevention-oriented (e.g., “Better safe than sorry”). This observation became our guiding
principle in developing an RFQ. In the following section we first elaborate on the rationale for an
RFQ consisting of proverbs. Subsequently, we report on three studies to test the reliability,
validity and predictive value of an RFQ-proverb we developed.
2.2 Proverbs as elements of an RFQ.
Wolfgang Mieder (1995), a leading scholar of proverbs, defines proverbs as a concise statement
of an apparent truth, which has currency among the people. Proverbs possess a number of
characteristics that make them particularly suitable to measure regulatory focus. They reflect the
assumptions, attitudes and motivations of the members of a culture precisely because they are
absorbed at an early age and then are taken for granted (Wederspahn, 2002). Indeed, proverbs
bear an interesting resemblance to regulatory focus. Both are absorbed at an early age, in other
words during socialization. However, we may well expect that not all individuals absorb the same
proverbs. In fact, we hold that a social regulatory style will be passed on byamong other
thingsusing those proverbs that convey the norms and values related to the social regulatory
style of the socializers.
People appear to be especially sensitive to information that fits their dominant regulatory
focus (Cesario et al., 2004; Higgins, 2000; 2002). This on its own justifies the assumption that
someone’s dominant regulatory focus can be assessed with the help of proverbs.
Some psychologists have explicitly rejected proverbs as candidates for ideas about human
behaviour and their use in mental testing, mostly because proverbs too often represent
contradictory ways of construing problem situations (McKeachie & Doyle, 1970). In Chapter 1
we saw the contradictory ways prevention-focused and promotion-focused people construe social
situations; this is precisely what makes proverbs ideally suited for an RFQ. Take again, for
example, the two contradictory proverbs “Better safe than sorry” and “Risk your neck”. The first
immediately makes one think of prevention-focus and the second of promotion-focus. Indeed,
CHAPTER 2
40
Pham and Higgins (2005) demonstrated that prevention-focused people use vigilance strategies,
whereas promotion-focused people use eagerness strategies. As these examples suggest, proverbs
lend themselves very well to be categorized as either prevention- or promotion-oriented. This is
not surprising, because both regulatory focus and proverbs are handed down by human
experience. Hence, if regulatory focus is such a general principle that it influences all spheres of
life, these foci will inevitably be reflected in proverbs. Therefore, some proverbs should be more
appealing to a person than others, depending on his or her chronic regulatory focus.
Socialization, sensitivity to information and precipitation form the theoretical foundation
for our rationale to use proverbs in the construction of an RFQ. At face value and on theoretical
grounds, we expect that chronic regulatory focus can be assessed by an RFQ-proverb. It is not
enough for an idea to be appealing however; evidence supporting the idea is needed as well.
Therefore, we designed three studies to test the reliability, construct validity and predictive value
of an RFQ based on proverbs. First, we elaborate on the scale development followed by the
overall scale characteristics of the three studies. Then, we say more about the relation between
RFQ-proverb and a translated RFQ (Lockwood et al., 2002) and the relation to theoretically
related measures. Thereafter we describe the three studies separately. Study 1 was designed to
test validity in a context that is known to differentiate between promotion regulatory focus and
prevention regulatory focus. Study 2 was designed as a replication. Study 3 was designed to test
whether accessibility of a dominant chronic regulatory focus could be measured by RFQ-proverb;
this was done by relating score and response time to each other (Fazio, 1995).
2.3 Development and evaluation of RFQ-proverb.
2.3.1 Scale development
We started the process of scale development by examining a Dutch search engine for proverbs
containing 1,631 proverbs and sayings. After we had eliminated proverbs based on redundancy or
because they did not express meaning relating to regulatory focus, 301 of the 1,631 remained.
The 301 proverbs were checked for face validity. This gave us a set of 102 proverbs (57 relating
to prevention and 45 relating to promotion). This set of 102 proverbs was given to two content
experts. To ensure high content validity, that is, the extent to which the instrument evokes a range
of responses relating to regulatory focus, the content experts were asked to categorize the
proverbs according to the following classification:
4
Although RFQ-proverb is comprised of proverbs and sayings, in the text “proverbs” is used as shorthand for both.
USING PROVERBS TO MEASURE REGULATORY FOCUS
Promotion
41
Prevention
•
nurturance needs
•
security needs
•
growth and advancement goals
•
protection and responsibility goals
•
self-direction and stimulation values
•
tradition and conformity values
•
eagerness
•
vigilance
•
openness to change
•
need for stability
•
success = gain, failure = no-gain
•
success = no-loss, failure = loss
•
approach
•
avoidance
The categorization of the content experts eventually gave us a set of 27 promotion proverbs and
30 prevention proverbs. Examples of promotion categorizations are: “Where there’s life, there’s
hope” (ideal goals) and “Risk your neck” (risk seeking) and prevention categorizations: “Better
safe than sorry” (protection and security) and “Let the cobbler stick to his last” (need for
stability). The context experts’ categorization of the proverbs according to the different
implications enabled us to create an instrument that tapped into a broad range of the rich
implications of the different foci. Finally, out of these remaining proverbs, the ones most
frequently used in day-to-day language were chosen. This resulted in an RFQ-proverb consisting
of 15 promotion and 15 prevention proverbs (see Table 2.1).
Table 2.1
Overview of prevention and promotion items of RFQ-proverb.
promotion items
prevention items
Give it your all*
Where there’s a will, there’s a way*
You never know what you can do until you try*
Life is for living*
Variety is the spice of life*
Broaden your horizons*
Nothing ventured, nothing gained*
Risk your neck
Don’t hide your light under a bushel
A cat in gloves catches no mice
Our fate is in our own hands
If you’re not in, you can’t win
Where there’s life, there’s hope
Never trouble trouble till trouble troubles you
Not moving forwards means moving backwards
Act normal, that’s crazy enough*
Let the cobbler stick to his last*
Prevention is better than cure*
Don’t skate on thin ice*
Sufficient unto the day is the evil thereof*
Wait to see which way the wind blows*
East west, home is best*
Discretion is the better part of valour
A burnt child dreads the fire
A bird in the hand is worth two in the bush
One swallow does not make a summer
Keep something aside for a rainy day
Better safe than sorry
Haste makes waste
Seeing is believing
* the starred items are included in the short version of RFQ-proverb
42
CHAPTER 2
This RFQ-proverb was submitted in three separate studies to students from the Faculty of Social
Sciences at the Vrije Universiteit, Amsterdam. In the first two studies, respondents filled out a
paper-pencil version during a lecture break. In the third study, the data were obtained using the
Internet as the means of data collection. We will elaborate on the methodology used in the three
studies in the following section. Here it suffices to mention the instruction provided to the
respondents. In all three studies, the instructions to the respondents were exactly the same. RFQproverb was introduced by stating that proverbs reflect the ways that people appraise the world
around them. After this short introduction, respondents were instructed to answer the following
question “To what extent do the following proverbs apply to all your actions?” on a 7-point
Likert scale, ranging from 1 (not at all) to 7 (very much). The instructions were followed by an
example, whereupon the respondents could indicate the extent to which the 30 proverbs applied
to all their actions.
In the following pages we elaborate on the scale characteristics of RFQ-proverb. Next, we
examine the convergent validity by relating RFQ-proverb to a translated RFQ (Lockwood et al.,
2002) and theoretically related measures. Finally, we describe the three studies separately.
2.3.2 Scale characteristics
To examine the construct validity of RFQ-proverb, that is, the extent to which the instrument
measures two constructs, we report characteristics of the distributions and factor analyses.
Characteristics of the distributions
The three studies produced very similar results. Table 2.2 shows the scale characteristics for
promotion and prevention proverbs that emerged for the three samples.
Table 2.2
Overall scale characteristics for promotion and prevention items over three studies.
Study 1 (N = 109)
promotion
prevention
Study 2 (N= 53)
Study 3(N = 186)
promotion prevention promotion prevention
Mean
5.17
4.20
5.40
4.07
5.17
4.24
Median
5.17
4.25
5.47
4.13
5.20
4.27
Mode
4.83
4.17
5.67
3.80
5.27
3.93
SD
0.61
0.77
0.66
0.77
0.58
0.66
Skewness
.14 (.23)
-.63 (.18)
-.18 (.18)
-.38 (.23)
-.63 (.33)
-.07 (.33)
USING PROVERBS TO MEASURE REGULATORY FOCUS
Kurtosis
-0.39 (.47) -0.33 (.47)
0.88 (.67)
-0.59 (.67)
43
1.35 (.36) -0.54 (.36)
Shapiro-Wilk’s
.99 (ns)
.98 (ns)
.97 (ns)
.99 (ns)
.97 (.02)
.99 (ns)
Cronbach's alpha
.78
.79
.83
.82
.78
.77
The mean, median and mode are almost identical, for prevention items very close to the midpoint
of the scale (4) and for promotion items reasonably close. The standard deviations are very
similar and close to 1.
Kurtosis and skewness tests of normality were used to evaluate whether the RFQ-proverb
data follow the theoretical normal distribution. The three studies show a rather varying pattern: in
the first study prevention items are negatively skewed, whereas in the second and third study the
promotion items are negatively skewed. Studies 1 and 2 show good to moderate kurtosis;
however, in Study 3, promotion is too tall and prevention is too flat. These distribution normality
findings indicate that the pattern is changeable; therefore we employed another goodness-of-fit
test. Besides skew and kurtosis, another goodness-of-fit method to test normality of distribution
is the Shapiro-Wilk's test. According to the Shapiro-Wilk’s test, all the subscales in all the studies
have a normal distribution except the promotion subscale in Study 3. Given these results, we
assume that the subscales provide for a close to normal distribution shape.
In addition to satisfying distribution criteria, the internal coherence of the subscales
appear to be high (Cronbach's alphas between .77 and .83). Moreover, male and female respond
similarly to the scale items. Overall, then, the scale characteristics of RFQ-proverb appear to be
good.
Factor analyses
Subsequently, we conducted Principal Component Analyses (PCA) with oblimin rotation
allowing for natural correlation among the factors (following Higgins et al., 2001) to determine
the extent to which promotion-focus and prevention-focus were represented by the proverbs in
the RFQ-proverb. Table 2.3 gives an overview of the first six components resulting from each
PCA, the natural correlation and percentage of declared variance.
44
CHAPTER 2
Table 2.3
Results from three PCAs with oblimin rotation of RFQ-proverb from Studies 1, 2, and 3.
Eigenvalues Comp.
natural correlation
explained variance
Study 1
Study 2
Study 3
RFQ short
(N= 109)
(N = 53)
(N = 186)
(N = 442)
1
4.51
5.45
4.80
3.18
2
4.05
4.94
3.64
2.63
3
2.28
2.13
1.88
1.19
4
1.77
1. 89
1.75
.99
5
1.57
1. 68
1.53
.97
6
1.45
1. 54
1. 34
.80
.03
.03
.05
.06
29 %
35 %
28 %
41 %
On the basis of the scree test we concluded that each factor analysis revealed two factors with
eigenvalues between 3.65 and 5.45, accounting for respectively 29%, 35%, 28% and 41%of the
variance. The natural correlation between the two constructs is low (.03 - .06), indicating that the
two vary independently (see Higginset al., 1986). We will return to RFQ-short later. Thus,
prevention and promotion measured by RFQ-proverb can be treated as two separate constructs.
After the PCAs with oblimin rotation, we conducted four orthogonal PCAs with varimax
rotation to facilitate the interpretation. Based on the scree test, we restricted each PCA to two
factors. Table 2.4 provides an overview of the factor loadings for the two factors on the 15
prevention and 15 promotion items.
USING PROVERBS TO MEASURE REGULATORY FOCUS
45
Table 2.4
Factor loadings for 2 factors resulting from PCA on 15 prevention and promotion items (7 in RFQ short)
in Studies 1, 2, and 3 and for RFQ-short.
Prevention items
Act normal that's crazy enough
Let the cobbler stick to his last
Prevention is better than cure
Don’t skate on thin ice
Sufficient unto the day is the evil thereof
Wait to see which way the wind blows
East west home is best
Better safe than sorry
Keep something aside for a rainy day
Discretion is the better part of valour
A burnt child dreads the fire
A bird in the hand is worth two in the bush
Haste makes waste
One swallow does not make a summer
Seeing is believing
Study 1
Study 2
Study 3
RFQ-p short
(N = 109)
(N = 53)
(N = 186)
(N = 442)
Comp Com Comp Comp Comp Comp Comp Comp
p2
1
2
1
1
2
1
2
-.02
-.01
.07
-.01
-.03
.19
-.23
.01
.02
.00
.03
.13
-.01
.11
-.43
.58
.66
.20
.50
.09
.33
.56
.63
.60
.51
.61
.37
.46
.62
.40
-.01
.13
.04
-.03
.01
-.11
-.10
.15
.31
-.53
-.04
-.03
-.03
.02
-.31
.59
.42
.58
.77
.51
.59
.35
.68
.48
.26
.75
.70
.57
.58
.14
-.07
-.02
.12
.02
-.14
-.17
-.07
.11
.08
-.13
.10
.10
.11
.02
-.33
.55 -.16 .68
.51 .04 .70
.35 .23 .51
.59 .18 .65
.21 .09 .49
.43 .05 .61
.65 .05 .68
.43
.54
.56
.64
.43
.54
.42
.29
.30
.57
.73
.65
.60
.53
You never know what you can do until you try
.37
Where there’s life, there’s hope
.31
Our fate is in our own hands
.41
Risk your neck
.53
Don’t hide your light under a bushel
.53
A cat in gloves catches no mice
.67
If you’re not in, you can’t win
.70
Never trouble trouble till trouble troubles .41
you
Not moving forwards means moving .35
backwards
-.18
.12
.01
.10
-.10
-.23
-.07
.24
.07
.11
.33
.05
-.12
.08
.45
.57
.66
.51
.45
.63
.43
.39
.55
.61
.73
.71
.84
.23
-.02
-.04
.02
.19
.07
-.27
.39
.13
.03
.07
.04
-.02
-.08
.02
.42
.68
.71
.68
.59
.67
.38
.45
.43
.44
.62
.26
.60
.27
.00
-.07
.00
.13
.24
-.15
-.06
.29
.14
-.13
.09
.22
-.03
.15
.05
.45
.07
.35
.08
Promotion items
Variety is the spice of life
Broaden your horizons
Nothing ventured, nothing gained
Where there’s a will, there’s a way
Give it your all
Life is for living
66
.69
.73
.60
.47
.73
.58
.02
.00
.02
.33
.18
-.05
.10
In each of the four studies the factor loadings of the 30 proverbs (or 14 in the short version)
differentiated as expected over the two factors. These two factors are referred to as promotion
and prevention.
CHAPTER 2
46
Summing up, RFQ-proverb appears to have good distributions properties, while the
results of the factor analyses consistently revealed the same factor structure over the three
samples.
2.3.3 A short version
We realized that, because of practical constraints, it could be difficult to administer the full
version of RFQ-proverb in many settings. Consequently, we sought to develop a short version
that would correlate highly with the total scale but would consist of substantially fewer items.
To develop a short version of RFQ-proverb we selected the 14 (7 promotion and 7
prevention items) proverbs that had the highest item-total correlation. The proverbs included in
RFQ-proverb-short are the starred proverbs in Table 2.1. RFQ-proverb-short has scale
characteristics nearly identical to those of the complete scale5. See Table 2.3 for the eigenvalues
and Table 2.4 for the factor loadings of RFQ-proverb-short. The scree test of the short version
reveals two factors with eigenvalues between 3.17 and 2.63, accounting for, respectively, 41% of
the variance. The natural correlation between the two constructs is low (.06), indicating that the
two factors of RFQ-proverb-short vary independently.
2.3.4 Relationships with other scales
To assess its relationship to comparable scales and instruments, that is, to assess the convergent
validity, we administered some of these measures in Study 2 and Study 3 in addition to RFQproverb. To test the convergent validity, first of all we included a translated version of the RFQ
created by Lockwood et al. (2002). Obviously, we anticipated a very strong relationship between
RFQ-proverb and Lockwood et al.’s RFQ. Additionally, scales were included that, theoretically,
were expected to correlate with the regulatory focus pair and thus with the subscales of RFQproverb. Personal Need for Structure (PNS, Neuberg & Newsom, 1993), Preference for
Consistency (PFC, Cialdine, 1995), Need For Cognition (NFC, Cacioppo, Petty & Kao, 1984)
and the Schwartz Value Scale (SVS, Schwartz 1992) were included.
The Personal Need for Structure scale was created in an attempt to capture, as a chronic
individual motive, several aspects of the desire for simple structure.
5
Scale characteristics of the promotion subscale of the RFQ-proverb-short are: M = 5.15, Median = 5.14, SD = 0.88,
Cronbach's alpha = .76, skew = -.53 (ses = .12), kurtosis = 1.03 (sek = .24) and Shapiro-Wilk = .99 (.01). Scale
characteristics of the prevention subscale of the RFQ-proverb-short are: M = 4.21, Median = 4.28, SD = 1.05,
Cronbach's alpha = .73, skew = -.21 (ses = .12), kurtosis = .10 (sek = .24) and Shapiro-Wilk = .98 (.05). And, as
with the total scale, male and female participants responded similarly to the RFQ-proverb-short.
USING PROVERBS TO MEASURE REGULATORY FOCUS
47
People high on personal need for structure would prefer structure and clarity in most situations,
with ambiguity and grey areas proving troublesome and annoying. Such people should
experience discomfort if they perceive structure and clarity to be missing from situations. We
assume promotion-focused people with their openness to change to be low on need for structure,
and prevention-focused people with their preference for stability to be high on need for structure.
The Preference for Consistency scale measures variation in the desire to be and to be seen
as consistent.
“Individuals who score low on the PFC Scale appear to prefer spontaneity, change, and
unpredictability in their responding rather than congruency with their prior responses.
They seem open and oriented to the new, in ways that are relatively unconstrained by
the established. For those who score high on the scale, however, personal consistency is
valued, and these individuals take pains to align their responses in most situations with
their previous actions, attitudes, and commitments, especially when the concept of
consistency has been made salient” (Guadagno Asher, Demaine, & Cialdini, 2001, p.
859).
Following the same reasoning as the Personal Need for Structure scale we assume that
promotion-focused people will be low on PFC and prevention-focused people high.
The Need for Cognition scale assesses the extent to which people differ in their tendency
to engage in and enjoy effortful cognitive activities (Cacioppo et al., 1984). Need for cognition is
typically measured with the 18-item Need for Cognition scale (Cacioppo et al., 1984). Research
using the scale has demonstrated that individuals with a high need for cognition prefer complex,
cognitively demanding tasks to simpler versions; individuals with a low need for cognition prefer
simpler tasks to more complex versions (Cacioppo et al., 1984). We administered a short version
of the Dutch translation by Pieters, Verplanken & Modde (1987). Molden and Higgins (2004)
show that, when faced with uncertainty, prevention-focused people have a low need for
cognition, and promotion-focused high. We expect to find this relation as well.
Finally, we were interested in the relation between RFQ-proverb and values. Van-Dijk
and Kluger (2004) showed that promotion-focused people endorse self-direction and stimulation,
whereas prevention-focused people endorse tradition, conformity, and security. Therefore we
related RFQ-proverb to these values from the Schwartz Value Scale (SVS). Thus, if RFQ-proverb
measures a prevention and promotion construct one would expect that promotion measured with
RFQ-proverb would relate to self-direction and stimulation and not to tradition, conformity, and
security. By contrast, prevention should relate to tradition, conformity, and security and not to
self-direction and stimulation.
48
CHAPTER 2
It is usually recommended to control for the “alternative type of score” in regulatory focus
research, because significant interrelations are typically found in studies based on regulatory
focus (Higgins et al., 1997, p. 518). Although we found low insignificant correlations of the
RFQ-proverb prevention and promotion subscales (.03 - .06), we followed up the
recommendation of Higgins et al. (1997). Therefore, all the studies reported in this dissertation
look at the unique relation between the specific regulatory focus and the outcome variable. In
other words, the unique relation between promotion-focus and an outcome variable is
determined, controlling for prevention regulatory focus, whereas the unique relation between
prevention-focus and an outcome variable is determined, controlling for promotion-focus.
Table 2.5
(Partial) correlations of the RFQ-proverb with other scales.
Correlation
Scale
promotion
prevention
Partial Correlation
promotiona preventionb
N
RFQ Lockwood promotion
.76**
.02
.76**
.01
53
RFQ Lockwood prevention
.04
.84**
.06
.84**
53
.46**
-.36**
.52**
186
.33**
.07
.32**
186
Personal Need for Structure
-.22**
Preference for Consistency
.09
Need for Cognition
.20**
-.01
.20**
-.02
186
SVS
Self-direction
.37**
-.11*
.39**
-.16**
442
Stimulation
.47**
-.10*
.49**
-.17**
442
Tradition
Conformity
Security
Note.
a
.05
.32**
.02
.32**
442
.12*
.33**
.10*
.33**
442
.09
.36**
.09
.35**
442
= controlled for prevention, b = controlled for promotion
*p <.05. **p<.01.
RFQ-proverb proved to be very strongly related to RFQ Lockwood (see Table 2.5), thus the
convergent validity is high. RFQ-proverb prevention is positively correlated to need for structure
and preference for consistency, and RFQ-proverb promotion is positively correlated to need for
cognition. Furthermore, RFQ-proverb prevention appears to be positively correlated to tradition,
conformity and security, whereas RFQ-proverb promotion is positively correlated to selfdirection and stimulation. This is what one would expect if RFQ-proverb is to measure regulatory
USING PROVERBS TO MEASURE REGULATORY FOCUS
49
focus. However, contrary to our expectations, RFQ-proverb promotion is positively correlated
to conformity also, although RFQ-proverb prevention was much more strongly related to
conformity than RFQ-proverb promotion. Thus, our expectations were confirmed for the most
part.
In summary, the results of the scale characteristics and the relationships with related
measures are promising. Based on the observed relations with related concepts and RFQ
Lockwood, we suggest that differences in promotion-focus strength and prevention-focus
strength can be measured with RFQ-proverb in a reliable and valid way. Indeed, the scale
differentiates between promotion-focused and prevention-focused people.
The relation between RFQ-proverb and other scales is, however, no more than an
important beginning in our search for validation. Above all, an instrument should have predictive
validity. Therefore we made an effort to establish the construct validity through a series of
studies. These studies were designed to examine the extent to which RFQ-proverb enabled us to
differentiate between a chronic promotion and prevention regulatory focus and the extent to
which these regulatory foci related differences in intrinsic and extrinsic study motivation, in other
words the predictive value.
2.4 Study 1 and Study 2
As an additional test of the validity of RFQ-proverb, we tested in Study 1 and Study 2 whether
RFQ-proverb differentiates between intrinsic and extrinsic study motivation. Students with an
intrinsic motivation study because they find it inherently interesting or enjoyable, whereas
students with an extrinsic motivation study because they experience control or pressure from
others, for example their parents (see, for example, Deci & Ryan, 1991). Intrinsic and extrinsic
motivation to study are related to different kinds of basic needs or incentives, such as
distinguishing between (intrinsic) wants related to autonomy or self-determination and (extrinsic)
wants related to control or pressure from others (Deci & Ryan, 1991). This fits with regulatory
focus theory: prevention-focused students who aim at ought goals with an avoidance strategy
should show a stronger extrinsic study motivation than promotion-focused students. Promotionfocused students who aim at ideal goals and adhere to values of self-direction and autonomy
should show stronger intrinsic study motivation than prevention-focused students. Hence, oughts
can be internal and ideals can be external as well; however, on average, we assume that oughts
(which trigger a prevention-focus) evoke an extrinsic motivation, whereas ideals (which trigger a
promotion-focus) evoke an intrinsic motivation. RFQ-proverb should reveal this relation. Thus a
50
CHAPTER 2
high score on RFQ-proverb promotion should relate to high intrinsic motivation to study,
whereas a high score on RFQ-proverb prevention should relate to high extrinsic motivation to
study.
Study 2 was designed to replicate the findings of Study 1; therefore Study 1 and Study 2
are identical, except for the test of the convergent validity RFQ Lockwood, which was only
conducted in Study 2.
2.4.1 Study 1 and Study 2 Methodology.
Participants: Students (Study 1: 109 [28 male, 81 female], Study 2: 53 [15 male, 38
female]) from the Faculty of Social Sciences at the Vrije Universiteit, Amsterdam, participated in
this study. During a lecture they were asked to participate (voluntarily and unpaid) in a paperpencil test framed as an achievement study motivation study. We found no significant gender
differences.
Materials: RFQ-proverb was used to assess chronic regulatory focus. The items to
measure intrinsic and extrinsic study motivation were based on the situational motivation scale
(SIMS, Guay, Vallerand & Blanchard, 2000). Both the intrinsic and extrinsic motivation scales
were comprised of three items. Respondents were instructed to indicate on a 7-point Likert scale,
labelled 1 (not at all) to 7 (very much), the extent to which the following study motivation items
applied. The items included were: (1)“I study because I think studying is interesting”, (2) “I study
because I think studying is pleasant” and (3) “I study because studying is fun” (intrinsic study
motivation, Study 1:
= .71, Study 2
= .87). (1) “I study because I feel that I have to do it”, (2)
“I study because I am supposed to do it”, and (3) “I study because it is something that I have to
do” (extrinsic study motivation, Study 1:
= .67, Study 2
= .58).
Procedure: The study was presented as an investigation of study motivation. During a
lecture break, the class filled in a paper-pencil test, which took about ten minutes. Respondents
completed RFQ-proverb and subsequently the SIMS. In addition to RFQ-proverb and the SIMS,
the questionnaire included some demographic variable questions, such as age and gender.
2.4.2 Results and Discussion Study 1 and Study 2.
Preliminary analyses
Table 2.6 provides an overview of the preliminary analyses. The intercorrelations between study
motivation and regulatory focus are in the expected directions. RFQ-proverb promotion is
positively related to intrinsic study motivation and not to extrinsic study motivation, and RFQ-
USING PROVERBS TO MEASURE REGULATORY FOCUS
51
proverb prevention is positively related to extrinsic study motivation and not to intrinsic study
motivation.
Table 2.6
Correlations, means and standard deviations for intrinsic study motivation, extrinsic study motivation,
promotion-focus and prevention-focus for Study 1 and Study 2. Correlations of Study 1 are above the
diagonal and those of Study 2 under the diagonal.
intrinsic
extrinsic
promotion
prevention
-.20*
.16*
.08
.31**
intrinsic
--
extrinsic
-.45**
--
.01
promotion
.21*
-.07
--
-.05
prevention
-.18
.24*
.01
--
M Study 1
5.60
2.93
5.17
4.20
M Study 2
6.04
2.33
5.40
4.07
SD Study 1
0.67
1.35
0.61
0.77
SD Study 2
0.81
1.21
0.66
0.77
Note.
* significant at .05 level (two-tailed), ** significant at .01 level (two-tailed)
Main analyses
For Study 1 and Study 2 we performed four hierarchical regressions. As indicated, it is usually
recommended to control for the “alternative type of score” in regulatory focus research, because
significant interrelations are typically found in studies based on regulatory focus. Moreover, the
correlation between types of study motivation is significant (Study 1: r = -.20 and Study 2: r = .45); therefore, we controlled for the “alternative type of score” (Higgins et al., 1997, p. 518).
Accordingly, each type of study motivation was regressed on the other type of study motivation,
RFQ-proverb promotion and RFQ-proverb prevention. The first analysis involved the prediction
of intrinsic study motivation from RFQ-proverb prevention and RFQ-proverb promotion,
controlled for extrinsic study motivation. The second analysis involved the prediction of extrinsic
study motivation from RFQ-proverb prevention and RFQ-proverb promotion, controlled for
intrinsic study motivation. Subsequently, identical analyses were performed for Study 2. Table
2.7 gives an overview of the findings of the four analyses.
52
CHAPTER 2
Table 2.7
Results of four hierarchical regression analyses with intrinsic or extrinsic study motivation as outcome
variable and RFQ-proverb/promotion and prevention as predictors controlled for either intrinsic or
extrinsic study motivation.
Study 1 (N = 109)
intrinsic
R2
Study 2 (N = 53)
extrinsic
R2
F
intrinsic
R2
F
extrinsic
R2
F
F
Model 1:
intr./extr.a .03
2.92
-.17* .03 2.92
-.17*
.21
.11 5.80***-.22*
.03
12.70***-.45*** .20 12.70*** -.45***
Model 2:
intr./extr.a .06 3.12*
-.23*
promotion
.20*
.09
prevention
.16
.32***
Note:
a
.86
-.42*** .02
.75
-.42***
.15
.00
-.08
.16
intrinsic is controlled for extrinsic and vice versa
Study 1: intrinsic (F (3; 95) = 3.09, p < .03); extrinsic: (F (3; 95) = 4.94, p < .003).
Study 2: intrinsic (F (3; 48) = 4.78, p < .005); extrinsic: (F (3; 48) = 4.69, p < .006).
significant at .10 level, * significant at .05 level (one-tailed), ** significant at .01 level (onetailed), and *** significant at the .001 level (one-tailed).
In both studies we see the predicted effect: RFQ-proverb promotion is positively related to
intrinsic study motivation and not related to extrinsic study motivation, whereas RFQ-proverb
prevention is positively related to extrinsic study motivation and not to intrinsic. Indeed,
promotion is more strongly related to intrinsic than extrinsic study motivation ( on intrinsic
study motivation is .11 higher than extrinsic study motivation in Study 1 and .15 in Study 2),
whereas prevention is more strongly related to extrinsic than intrinsic study motivation ( on
extrinsic study motivation is .16 higher than intrinsic study motivation in Study 1 and .24 in
Study 2). Thus, RFQ-proverb enabled us to differentiate between a chronic promotion and
prevention regulatory focus and the differences in study motivations that were related to these
regulatory foci. Moreover, we find the same results in the two studies. Replication of the findings
gives confidence in RFQ-proverb.
USING PROVERBS TO MEASURE REGULATORY FOCUS
53
2.5 Study 3
Study 3 was designed to assess the construct validity of RFQ-proverb in a more unobtrusive way.
Several studies of prevention-focus and promotion-focus use response times as indicators. As
discussed in the introduction to this chapter, the assumption underlying this method is that the
time required to recover a given attribute is a reflection of how readily it comes to mind (Fazio,
1995; Higgins, et al., 1997). It is assumed that accessibility represents activation potential and
that stored knowledge with higher activation potential produces faster responses. In other words,
a self-representation with a high activation potential produces faster responses than selfrepresentations with a low activation potential.
Applying this rationale to RFQ-proverb gives us an interesting opportunity to use our data
to ascertain the construct validity in an unobtrusive way. The time that is required to produce an
answer to the question: "To what extent does the following proverb reflect all your actions?" is an
indication of how readily this answer comes to mind and, thus, of its accessibility (Fazio, 1995).
If accessibility represents activation potential, and stored knowledge with higher activation
potential produces faster responses, one would expect that questions about proverbs that reflect
all a respondent’s actions will be answered more rapidly than those that do not apply. In other
words, if RFQ-proverb measures regulatory focus, someone with a chronic promotion regulatory
focus should more rapidly respond to promotion proverbs than someone with a chronic
prevention regulatory focus, whereas someone with a chronic prevention regulatory focus should
more rapidly respond to prevention proverbs than someone with a chronic promotion regulatory
focus.
2.5.1 Methodology Study 3.
Participants: One hundred and eighty-six students from the Faculty of Social Sciences at
the Vrije Universiteit, Amsterdam, participated in an Internet experiment. As thanks for their
cooperation, participants received raffle tickets for a mobile telephone.
Procedure: The students were made aware of the study via an e-mail message, and there
where several announcements during lectures. They could conduct the experiment at either the
university or any other place where they had access to the Internet. The participants were given
the instructions for RFQ-proverb after a general introduction. The instructions were exactly the
same as in Study 1 and Study 2. The participants responded to the 15 proverbs representing a
promotion-focus and the 15 representing a prevention-focus one by one alternately. Presenting
the proverbs one by one enabled us to measure the time the participants needed to respond to
54
CHAPTER 2
every single proverb. The response times where subjected to a logarithmic transformation to
reduce positive skew (see Fazio, 1995) and controlled for the total number of words in the
proverbs (promotion 73 and prevention 95). Thus, after administering RFQ-proverb we had two
sets of data relating to the same questionnaire, namely, the answers about the extent to which a
proverb reflected all their actions, and the time it took to answer the question relating to that
specific proverb. If RFQ-proverb measures regulatory focus, the answers and the response time
should be negatively related to each other. Note, all the correlations and regressions presented in
this section are controlled for overall response time.
2.5.2 Results and Discussion Study 3.
Preliminary analyses
Table 2.8 provides an overview of the preliminary analyses. As indicated, the correlations with
the reaction time on prevention- and promotion proverbs are controlled for overall reaction time.
The interrelations between study motivation and regulatory focus are in the expected directions.
The RFQ-proverb promotion score is negatively (but not significantly) related to promotion
response time and not to prevention response time. The RFQ-proverb prevention score is
negatively (but not significantly) related to prevention response time and not to promotion
response time.
Table 2.8
(Partial) correlations, means, and standard deviations for RFQ-proverb/promotion, prevention score, and
response time.
1. promotion score
1
2
3
--
.08
-.08
.02
--
.02
-.14
2. prevention score
3. promotion resp. timea
--
4. prevention resp. timea
Note:
a
4
.29**
--
M
5.17
4.24
11.25
11.23
SD
0.58
0.66
0.41
0.42
transformed using a natural logarithmic transformation and controlled for number of words
** significant at .01 level (two-tailed)
USING PROVERBS TO MEASURE REGULATORY FOCUS
55
Main analyses
Two hierarchical regression analyses were performed. The first analysis involved the relation of
the RFQ-proverb prevention score with the RFQ-proverb prevention and promotion response
time controlled for overall response time and the RFQ-proverb promotion score. The second
analysis involved the relation of the RFQ-proverb promotion score with the RFQ-proverb
promotion and prevention response time, controlled for overall response time and the RFQproverb prevention score. The overall response time was added as control variable to control for a
“general response time”, whereas the “alternative type of score” score was added as control
variable to control for a general response tendency and a correlation between the two regulatory
foci (as suggested by Higgins et al., 1997). The response times where subjected to a logarithmic
transformation to reduce positive skew and controlled for the total number of words in the
proverbs (promotion 73 and prevention 95). Table 2.9 gives an overview of the results on the
prediction of the RFQ-proverb prevention response time.
Table 2.9
Results of hierarchical regression analysis with RFQ-proverb/prevention score as outcome variable and
prevention and promotion response time as predictors controlled for RFQ-proverb/promotion score and
overall response time.
R2
F
Model 1:
overall response time
.03
.12
-.03
.01
1.52
-.04
Model 2:
overall response time
.09
score promotion
Model 3:
overall response time
.01
score promotion
2.67
.05
.12
response time prevention
-.21
response time promotion
.11
R2 total = .10
F total (4; 181) = 2.01
Note:
significant at the 0.10 level (two-tailed)
56
CHAPTER 2
The complete model of the RFQ-proverb prevention score as outcome variable predicted by
RFQ-proverb prevention and RFQ-proverb prevention response time, controlled for overall
response time and score, explained 3% of the variance (F (4; 181) = 2.01, p = .09). The overall
response time ( =. 05, ns) and promotion score ( =. 12, ns) were not statistically significant in
relation to the prevention score. More important for the accessibility hypothesis is the RFQproverb promotion and prevention response time. The RFQ-proverb prevention score and
promotion response time were statistically not related ( =. 10, ns), whereas the RFQ-proverb
prevention score was (marginally) negatively related to the RFQ-proverb prevention response
time ( = -.21, p < .10). In other words, the stronger respondents’ prevention regulatory focus, the
faster they answer the question about the extent to which prevention proverbs reflect all their
actions.
Table 2.10
Results of hierarchical regression analysis with RFQ-proverb/promotion score as outcome variable and
promotion and prevention response time as predictors controlled for RFQ-proverb/prevention score and
overall response time.
R2
F
Model 1:
overall response time
.03
4.90*
.16*
.01
1.52
.16*
Model 2:
overall response time
score prevention
.09
Model 3:
overall response time
.06
6.38***
-.05
score prevention
.11
response time prevention
.46***
response time promotion
-.21
R2 total = .10
F total (4; 181) = 4.89
Note:
significant at the 0.10 level (two-tailed), *significant at the 0.05 level (two-tailed),
*** significant at the .001 level (two-tailed)
USING PROVERBS TO MEASURE REGULATORY FOCUS
57
Table 2.10 provides an overview of the analysis with the RFQ-proverb promotion score as
outcome variable predicted by the RFQ-proverb promotion and prevention response time and
controlled for overall response time and score. This complete model explains 10% of the variance
(F (4; 181) = 4.89, p < .001). Overall response time ( = -.05, ns) and prevention score ( = .11,
ns) are not statistically significant in relation to promotion score. The accessibility hypothesis is
confirmed in this model as well: the RFQ-proverb promotion response time was (marginally)
negatively related to the RFQ-proverb promotion score ( = -.21, p < .10), whereas prevention
response time was positively related to promotion score ( = .46, p < .001). Thus, the stronger
respondents’ promotion regulatory focus, the faster they respond to promotion proverbs and the
slower they respond to prevention proverbs.
2.6 Conclusions
Study 3 was designed to test the relation between regulatory focus and response time to the
subscales. The stronger the prevention-focus, the faster respondents react to prevention proverbs
and the slower to promotion proverbs (though this result was not statistically significant),
whereas the stronger the promotion-focus, the faster respondents react to promotion proverbs and
the slower to prevention proverbs. If the response time is a reflection of how readily an answer
comes to mind and, thus, of its accessibility (Fazio, 1995), we may conclude that a focus with a
high activation potential—thus often activated—produces faster responses to proverbs tapping
into that construct than proverbs tapping into a focus with low activation potential.
The finding that increasing regulatory focus evokes shorter reaction times for the
respective subscale and longer reaction times for the alternative subscale may be a result of
regulatory inconsistent information. It appears that regulatory consistent information is processed
faster, whereas regulatory inconsistent information is processed more slowly. This finding may
be due to regulatory fit (Higgins, 1997; 1998) and information sensitivity (Cesario et al., 2004;
Higgins, 2000; 2002). Regulatory consistent information seems familiar and evokes fast response
times, whereas regulatory inconsistent information seems odd and slows down the response time.
However, the most interesting finding for the construct validity of RFQ-proverb is that
someone with a chronic promotion regulatory focus measured using RFQ-proverb responds more
rapidly to promotion proverbs than someone with a chronic prevention regulatory focus, and vice
versa for someone with a chronic prevention-focus. Thus, the scores of RFQ-proverb are
negatively related to the response times of these scores. This is exactly what we would expect if
RFQ-proverb measures regulatory focus; therefore we assume that the instrument scores tap into
CHAPTER 2
58
the regulatory foci constructs. These findings of the response time study have given us, in
another—unobtrusive—way, more faith in the construct validity of RFQ-proverb.
Taken together, the results of the three studies are promising. The scale characteristics are
good (distribution and internal consistency). All factor analyses show two independent factors
with high eigenvalues, explaining satisfying variance and items loading in the expected manner.
These are important tenets, evidencing the stability of the instrument, particularly as the methods
of the studies differed (paper-pencil, and Internet). Despite these different methods, RFQ-proverb
elicited data with identical distribution patterns.
The fact that RFQ-proverb proved to be very strongly related to RFQ Lockwood indicates
that RFQ-proverblike RFQ Lockwoodmeasures regulatory focus. Thus the convergent
validity of RFQ-proverb is high. Relating RFQ-proverb to instruments like Personal Need for
Structure, Preference for Consistency and the Schwartz Value Scale produced the expected
correlations, and this gives confidence in the construct validity. Confidence in construct validity
was further enhanced by the results from the response time study.
On theoretical grounds we expected a differentiation in study motivation relating to the
two regulatory foci. If RFQ-proverb really measures regulatory focus, the instrument must be
able to reveal the expected differences in study motivation relating to the foci. Study 1 showed
that RFQ-proverb had the ability to distinguish between study motivations in the expected way.
Moreover, in Study 2 these findings were replicated. Indeed, intrinsic and extrinsic study
motivation is one of the many constructs that we could relate to regulatory focus. However, for
the validation of the instrument it is important that the instrument enabled us to differentiate
between intrinsically and extrinsically motivated respondents. In other words, Study 1 and Study
2 support the predictive value of RFQ-proverb.
Our studies indicate that proverbs are useful to capture the regulatory focus construct. As
indicated, proverbs often represent contradictory ways of construing situations and as such
appeared to be fruitful to capture the notion of what the often antagonistic promotion- or
prevention regulatory motivational states imply. As such, proverbs seem to be useful reflections
of norms, values and goals related to regulatory focus. Interesting, recently, we see other
researchers starting to use proverbs in self-regulatory studies too (see Briley, Morris, Simonson,
2005). Yet, all that glitters is not gold.
One of the problems with proverbs is the comprehension of proverbs by non-native
speakers. Indeed, although proverbs and sayings proved to be particularly useful for our
instrument because they can say something important with a minimum of text, are linguistically
organized to promote memory, and appeared to be a source of predictable differentiation between
USING PROVERBS TO MEASURE REGULATORY FOCUS
59
self-regulatory strategies these core qualities might be a pitfall for non-native speakers.
Proverbs relate to cultural rules and cultural patterns, which are often implicitly rather than fully
explicitly patterns and as such carry subtle nuances as well as social meanings attached to it.
Therefore, although comprehension of all kinds of questionnaires might be a major problem for
non-native speakers and thus for the validity of the findings, an instrument composed of proverbs
might be a little bit more sensitive to this problem.
Assessing regulatory focus with a questionnaire, researchers don’t know if they tap into
people’s chronic or situational induced regulatory state. Yet we are reasonable convinced that we
tap into the chronic regulatory focus. First, we ask to what extent the proverbs apply to all their
actions, hence, referring to a more general chronic state. Moreover, the findings in Study 3 reveal
that people who score higher on prevention proverbs are faster on prevention than promotion
proverbs and vice versa for promotion score, indicating that the dominant chronic focus was
more accessible. This validates our argument that we measure chronic regulatory focus.
However, these are just assumptions, in future research the intra-individual results on for
example a Strength-of-Guide measure (Higgins et al., 1997) could be compared with the score on
RFQ-proverb.
All in all, RFQ-proverb appears to be a reliable and valid instrument. Moreover, RFQproverb is an unobtrusive measure applicable to all sort of studies, independent of setting and
population, where regulatory focus is the concept to be explained. Indeed, we have enough
confidence in the instrument to employ it in the studies relating regulatory focus theory to protest
participation motives.
60
Chapter 3. Methodology.
The main goal of this dissertation is to develop a theoretical model of political protest
participation that speaks to questions like who protests in what social movement context and
why. Developing a theoretical model is one thing, empirical data confirming the theoretical
model is another. How does one collect valid and reliable data on protest behaviour? Data
collection on protest participation is rarely comprehensive and, to avoid problems of reliability
and validity of the findings, researchers studying collective action behaviour typically apply two
methods.
The first method studies potential or actual protest behaviour. Based on representative
samples from the population, such as the World Value Survey (WVS) or the European Social
Survey (ESS), researchers assess who has participated in collective action (cf, Norris, 2002;
Inglehart & Catterber, 2002; Welzel, Inglehart & Deutch, 2005). General population surveys
have the advantage of sampling people that both did and did not participate in political protest.
However, only a small number of citizens actually participate in political protest (in The
Netherlands 9% in 2000 and 14% in 2002, Social and Cultural Planning Office, 2004); this
implies that many people in the sample may be ignorant about issues relating to political protest
participation, not to mention their being motivated to participate in political protest.
In the methods relying on general population surveys we see some questions about actual
participation, but more often respondents are asked about their intentions to participate in
political protest. However, intention to participate is a weak indicator of actual participation
(Topf, 1995, cited by van Aelst, Walgrave & Decoster, 2000). Indeed, as social psychologists we
know that there is a significant discrepancy between what people want to do and what people
eventually do. In their study on the peace movement, Klandermans and Oegema (1987) show that
this discrepancy between intention and behaviour also applies to protest behaviour. They report
that 60% of the individuals who were motivated to take part in a demonstration organized by the
peace movement eventually did not participate. These figures show that “the intention to
participate is by no means a sufficient condition” (Klandermans & Oegema, 1987, p. 529) for
actual participation. Moreover, the figures on intentions to participate and actual participation in
political protest in The Netherlands, mentioned in Chapter 1, reveal the same discrepancy
(intentions in 2000 51% and 2002 55%, actual participation 9% in 2000 and 14% in 2002, Social
and Cultural Planning Office, 2004, p. 45). The discrepancy between intentions and actual
behaviour is not a problem if the variance in intentions is the subject of the study.
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Another often-applied method is protest event studies with an emphasis on events
rather than individuals, organizations or movements as units of analysis. Protest event analysis
has been developed to systematically map, analyze and interpret the occurrence and properties of
large numbers of protests by means of content analysis, using sources such as newspaper reports.
Although this line of research produces useful insights into effective collective actions during a
certain period (Rucht, Koopmans & Neidhardt, 1998), it is criticized for being subjective and
incomplete, because most event data come from newspapers or other news archives, revealing a
selection bias problem (van Aelst et al., 2000). The selection bias problem involves assessing the
extent to which news sources represent some “true” account of the underlying protest events.
Recent studies that use police archives as independent sources of information have generated
more insight into the biases of newspaper-based studies, showing clear evidence of selection bias
(McCarthy, McPhail & Smith, 1996). Event size was the most important factor in determining
whether events were covered. Additionally, they found that some event forms were less likely to
be covered and that the amount of news coverage an issue had been receiving predicted the
probability that a protest about it would be covered. Protest event analyses are less suitable for
the study of the motivational mechanisms behind political protest participation, because at best
they offer aggregated information on motivational mechanisms.
If one wants to know who participates in protest, why and in what social movement
context, it is preferable to ask participants themselves using a protest survey. Protest surveys are
written and postal questionnaires distributed among protesters at protest events. Collecting data
during protest events implies that the people interviewed are actually performing protest
behaviour in contrast to people who intend to perform protest behaviour. In other words,
participants are interviewed in the context in which they perform this behaviour, in the heat of the
battle, right on the spot. Thus, protest itself becomes the crux of the research (Walgrave, 2005).
However, applying this method implies committing the methodological sin of selecting the
dependent variable. We will reflect on this issue in the general discussion. Moreover, a
demonstration is a living thing and it is tricky to take a sample survey from a boiling mass of
people (Walgrave, 2005).
We conducted two surveys in two different town squares at protests organized by two
different movements at exactly the same time against the same budget cuts proposed by the same
government. This Most Similar Systems Design is, from a social psychological point of view, an
interesting situation because the organizations emphasized differing aspects of the proposed
government policies. Indeed, their interpretation of “what’s going on?”, “who is to blame?” and
“how are we going to solve it?”, in other words, their collective action frames, differed. This gave
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us the opportunity to study the influence of social movement context on motivational patterns
of individual protesters.
This kind of field research implies that it is conducted in a crowded, unpredictable and
erratic environment, contrary to the controlled studies conducted in the laboratory or studies
based on secondary data sets like general population surveys and newspapers. How can one
guarantee reliability, validity and generalizability of the findings? Two Belgians—Stefaan
Walgrave and Peter van Aelst—fine-tuned a method to collect data during protest events, and our
data were collected using their method. Although obtaining data by using a protest survey is not
new, the systematic application proposed by Stefaan Walgrave and Peter van Aelst is. Therefore
we will outline its basic principles and then elaborate on data collection during the two
demonstrations and the characteristics of the participants in the different studies. However, first
we will elaborate on the design of our research. One strategy to study the relative importance of
the different participation motives contingent on social movement context is to compare its
relative importance over different protest events, in other words, a comparative research design.
3.1 Comparative research designs within protest participation research.
Comparative designs may incorporate comparisons of movements or events or other features of
social movements across space or time. Such comparisons are rare (Klandermans & Smith,
2002). Yet, as Klandermans and Smith hold, “comparative research of movement participation is
important. It tells us that what holds for a participant in one movement, or at one point in time, or
at one place is not necessarily true for a participant in another movement, or at a different time or
place” (p.6).
Comparisons across space examine the same movement in different locations and are the
most common. A classic example is Walsh’s (1988) study of citizens and activists in four
communities in the neighbourhood of Three-Mile Island, and a more recent illustration is a study
wherein ideas stemming from the American women’s movement are embraced and incorporated
in, respectively, the Dutch and the Spanish women’s movement. A comparison of the
implementation of the same ideas shows that the diffusion and adaptation process is context
dependent (Roggeband, 2002). Each study demonstrates that the dynamics of participation are
shaped by characteristics of the local communities in which the movements are embedded. Had
these authors neglected to make these comparisons (either by restricting themselves to a single
community or by simply analyzing aggregated data), we would erroneously believe that the
dynamics of participation in each community were the same. Such comparisons are important
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because they may reveal diverging political, economic or social psychological dynamics of
movement participation.
Comparisons across time examine the same movement over a certain time span.
Movements expand and contract in phases of mobilization and demobilization; these waves of
expansion and contraction can be analyzed by comparison across time. A good example is the
longitudinal study of the farmers’ movement by De Weerd and Klandermans (1999). Most
studies on identification with the group at stake and protest participation on behalf of the group
are basically correlational. Thus, identification can cause participation, but it could be the other
way round as well. In their field study with a comparative research design across time, De Weerd
and Klandermans were able to disentangle this causality pitfall. These scholars demonstrated that
identification with farmers stimulates participation in protest on behalf of farmers and,
subsequently, participation increases identification with the farmers.!
A comparison across movements or protest events enables us to answer different
questions. The most common question in a comparison of movements concerns the similarities
and differences between participants in different movements or protest events. These differences
may concern demographic characteristics, motivational dynamics, identity, attitudes and
ideology. An example is Klandermans’ (1993) comparison of participants in the labour, peace
and women’s movements in The Netherlands. Drawing on the aforementioned distinction in
action orientations, the study tests the hypothesis that each movement appealed to different action
orientations: a power orientation in the case of the labour movement, a value orientation in the
case of the peace movement and a participation orientation in the case of the women’s
movement. Yet another example of comparing protest events is the comparison by van Aelst et
al., (2000) of four national mass demonstrations in Brussels. In this study, the authors compare
participants from the different protest events amongst both the demonstrations and “the average
citizen” of Belgium. With this strategy they were able to answer questions about similarities and
differences between the different protest events and questions concerning similarities and
differences between protesters and “average citizens”.
All in all, these examples show the advantage of comparative research designs and the
kind of questions that can be answered using them. However, we are not aware of studies
comparing the relative weight of motivational mechanisms instigating protest participation over
different protest themes. If we want to achieve an increased theoretical understanding of
motivational mechanisms fuelling protest behaviour, we need comparisons; but the comparisons
must be methodologically sound. According to Klandermans and Smith (2002), a key issue to
ensure methodological soundness is that both the sampling frames and the questionnaires are
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comparable. Firstly, the samples: “In order to draw equivalent samples one needs comparable
sampling frames of the groups one wants to compare […] after all, we want to be able to attribute
the differences we find between two or more samples to real contextual differences rather than to
sampling biases” (p. 10). Secondly, the questionnaires: “That is, questions must not only have
comparable wording, but they must also have the same meaning for each group in a study
(Klandermans & Smith, 2002, p. 10, italics original). In the studies reported in this thesis, we
applied the sampling method proposed by Walgrave and colleagues (van Aelst & Walgrave,
2001; Van Aelst et al., 2000) to give every protester an equal chance to be approached with the
request to fill in a questionnaire. In our view this is the most sophisticated method to ensure
comparable samples.
3.3 Protest surveys.
As indicated, interviewing participants at protest demonstrations is not new, but interviewing
participants in a systematic manner is a relatively new technique. Favre, Fillieule and Mayer
(1997, cited by van Aelst & Walgrave, 2001, p. 468 speak of “a curious lacuna in the sociology
of mobilization”. Van Aelst and Walgrave (2001) found only a few studies applying this
technique. In 1979, Ladd, Hood and van Liere (1983, cited by van Aelst & Walgrave, 2001)
conducted interviews at a large anti-nuclear demonstration in Washington. Their objective was to
identify the extent to which participants share common positions on ideological issues. When
demonstrators in Sheffield took to the streets in 1983 to protest against the visit of Mrs Thatcher,
the British Prime Minister, Waddington, Jones and Critcher (1988, cited by van Aelst &
Walgrave, 2001) conducted 300 interviews to document the socio-demographic profile of the
protesters. However, neither study gave much explanation about how the survey was set up and
administered. Waddington stated: “Our survey of the demonstrators, which was random in the
literal rather than the scientific sense, provided a rough profile of the demonstrators”
(Waddington et al., 1988, p. 473, cited by van Aelst & Walgrave, 2001). At the beginning of
1994, Favre et al. (1997) carried out three surveys at large protest marches in France. They
designed a strategy to give all participants an equal opportunity of being interviewed. The
method of Favre and colleagues was refined by Walgrave and van Aelst (van Aelst et al., 2000).
Walgrave and van Aelst refined Favre et al.’s method in the context of several Belgian
protest marches. Given the unpredictable nature of protest action, representativeness is still the
main obstacle as far as this method is concerned. Walgrave and colleagues proposed two
techniques to increase the degree of reliability. The first proposed technique is a method to
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guarantee every protester an equal chance to participate in the study. In the protest events
studied by Walgrave and van Aelst, a dozen interviewers distributed approximately 700
questionnaires during the actual protest march itself, while a number of “reference persons”
ensured that the same number of rows was skipped throughout. On this basis, at every relevant
row a protester was asked if he or she was willing to fill in the questionnaire. The respondents
were asked to fill in the questionnaire at home and to mail it to the researchers.
However, this method is not always applicable, as Boekkooi (2005) shows. In her study,
the protest event (anti-war demonstration, 2003) took place in a square in Amsterdam rather than
being a march on a broad avenue in Brussels. To fit the environmental circumstances of a protest
event taking place in a square rather than on a broad avenue, the method of Walgrave and
colleagues was slightly modified. To give every protester an equal chance to participate in the
study, interviewers were equally distributed around the square on the outer edge of the protest
event. The interviewers were instructed to distribute one questionnaire to a protester on the outer
circle, followed by another, ten steps inwards, and so on until the centre of the circle was
reached. Although the studies in Brussels and Amsterdam are slightly adapted to different
environmental circumstances, the basic assumption underlying both methods is the same. To
ensure a reasonable degree of representativeness of the sample of addressed protesters,
researchers have to agree on a device that guarantees that all protesters spread around the area
where the protest event is taking place have the same chance of being addressed by one of the
interviewers.
The second technique proposed by Walgrave and colleagues to enhance the
representativeness of the findings is to conduct face-to-face interviews. In addition to the mail
surveys, a much smaller sample of protesters was questioned orally before the protest set off.
Each interviewer posed a few questions at random to about ten waiting protesters about the main
predictor variables and some demographics. These short, face-to-face interviews were used
primarily to evaluate the representativeness of the mail survey. Experience shows a response rate
of around 100% to face-to-face interviews. Thus, provided proper sampling is undertaken, these
face-to-face interviews can serve as check for the question as to whether the surveys are biased
(due to non-response). A non-response bias may arise due to the fact that people who respond to
surveys answer questions differently than those who do not (Benson, Booman & Clark, 1951;
Gough & Hall, 1977, cited by Walonick, 1997). Despite the fact that the response rates of the
surveys are very satisfactory for a mail survey with no reminders (40-45%), nothing is known
about the protesters who did not return their questionnaires. Some degree of reliability (van Aelst
& Walgrave, 2001) is suggested by the fact that hardly anyone refuses a face-to-face interview
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and that there are—in general—no significant differences between responses from the two
types of interviews.
Walgrave and colleagues agree that representativeness is still the main obstacle as far as
this method is concerned. “This is probably also why very few researchers have used the
technique” (van Aelst & Walgrave, 2001, p. 474). However, they continue, “Our experience
shows that with sound preparation and sufficient interviewers, a representative picture of the
protesters can be obtained” (van Aelst & Walgrave, 2001, p. 474).
We conducted protest surveys, using the two techniques proposed by Walgrave and
colleagues, during a demonstration organized by two social movement organizations, the trade
unions and the Turn the Tide alliance (an alliance against neo-liberal policies encompassing 500
organizations representing 500,000 members). Our studies were designed to collect data with
respect to motivational mechanisms leading to protest participation compared over different
social movement contexts. With the discussed theoretical frame of protest participation as the
point of departure, we constructed several measures that would help to explain why people were
motivated to participate in one protest event rather than the other. In the following sections we
elaborate on the procedures and characteristics of the participants of both studies. The specific
measures relating to the motivational mechanisms are described in the method sections of the
specific chapters.
3.4 Procedure Study 4 and Study 5.
We conducted protest surveys, using the two techniques proposed by Walgrave and colleagues,
during a demonstration organized by two social movement organizations, the trade unions and
the Turn the Tide alliance (an alliance against neo-liberal policies encompassing 500
organizations representing 500,000 members). Our studies were designed to collect data with
respect to motivational mechanisms leading to protest participation compared over different
social movement contexts. With the discussed theoretical frame of protest participation as the
point of departure, we constructed several measures that would help to explain why people were
motivated to participate in one protest event rather than the other. In the following sections we
elaborate on the procedures and characteristics of the participants of both studies. The specific
measures relating to the motivational mechanisms are described in the method sections of the
specific chapters.
In Study 4 (the union) and Study 5 (Turn the Tide) we distributed postal surveys and
conducted short, face-to-face
interviews
during the demonstration to evaluate the
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representativeness of the mail survey. As we were interested in the differences in motivational
mechanisms between the two mobilizing channels, we treated the two demonstrations as two
separate populations.
Consequently, 123 (Turn the Tide) and 115 (union) face-to-face interviews of about ten
minutes were conducted and 500 x 2 postal survey questionnaires were distributed. Following the
same procedure as Walgrave and colleagues, we started with the face-to-face interviews before
the programme of invited speakers began. The interviewers were equally distributed around the
two squares and they were instructed to interview one protester every ten steps to the centre of
the square. Practically no protester refused to participate in the face-to-face interview. When the
programme of invited speakers started, the distribution of the 500 survey questionnaires began in
both squares. In line with exactly the same procedure, the interviewers were equally distributed
around the two squares, and at every ten steps to the centre protesters were asked if they were
willing to participate in a survey. They were asked to fill in the questionnaire at home and then
post it to us (postage pre-paid by us). The response rate was very satisfying for a postal survey
without reminders: the overall response rate was 44% (unions 233: response rate 47% and Turn
the Tide 209: response rate 42%).
3.5 Participants Study 4 and Study 5.
The two studies were designed to test our theoretical framework of protest participation. Study 4
and Study 5 represent two mobilizing channels with somewhat different goals demonstrating at
the same time in the same city but in different squares. Our empirical material consists of two
separate samples wherein in total 238 face-to-face interviews (115 in Study 4 and 123 in Study 5)
were conducted and 1,000 questionnaires were handed out, of which 442 questionnaires (233 in
Study 4 and 209 in Study 5) were returned. First, we will describe the characteristics of the
participants of both samples based on the postal questionnaires. After that, we will elaborate on
the differences between the face-to-face interviews and the postal questionnaires, in other words,
the non-response bias. Table 3.1 provides an overview of the characteristics of the protesters at
both protest events.
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Table 3.1
Characteristics (survey) of the protesters of the different protest events.
Variables
Study 4 (union)
Study 5 (alliance)
N=
233
209
Gender (% males)
56%
48%
Age: mean
52 years
44 years
% (post) highschool
68%
45%
% college (Bsc/Msc)
29%
53%
non-member
46 (19%)
91 (44%)
member
194 (81%)
117 (56%)
Educational level:
Relation to organization:
Of the union sample (N = 233) 56% were male, with an average age of 52 years, and moderately
educated (68% had finished high school and 29% had a degree). Eighty-one percent of the
participants were union members.
The Turn the Tide sample (N = 209) was 48% male, with an average age of 44 years, and
highly educated (45% had finished high school and 53 % had a degree). Fifty-six percent were
members of an organization affiliated to the Turn the Tide alliance.
Social movement organizations with somewhat different goals seem to attract somewhat
different protesters. First, although the Turn the Tide sample shows male/female ratios of around
50%, males are overrepresented in the union sample (56%). Van Aelst et al. (2000) indicate that
the male/female ratio depends on the theme of the protest event. Interestingly, in a demonstration
with social security as its theme, van Aelst et al. (2000) report the same overrepresentation of
males (65%). Next, compared to the union, the majority of Turn the Tide protesters tend to be
relative young (Turn the Tide M = 44 years, union M = 52 years) and well educated (Turn the
Tide 53% with a degree, union 29% with a degree), in other words, the protesters of Turn the
Tide, tend to have a social structural profile similar to the presumed base of support of so-called
new social movements (Scott, 1990).
In addition to providing the traditional socio-economic variables, these surveys enabled
us to zoom in on the context of the mobilization. Since organizations are still widely regarded as
essential for successfully mobilizing protesters (McAdam, McCarthy & Zald, 1996), we expected
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69
to see a higher number of association members among the protesters. The figures confirm this:
protesters are members of an association (Turn the Tide 56%) or union (union 81%). Protesters
are more likely to be members of an association or union than the average Dutchman (in 1999,
34% of Dutch citizens over 18 years of age were members of at least one social organization (the
Amenities and Services Utilisation Survey, scp-avo, 1999). Hence, compared to the union, the
Turn the Tide protest seemed to be able to mobilize more non-members. We will return to this in
the general discussion.
Thus, the union and Turn the Tide samples differ, and these differences seem to relate to
the fact that different mobilizing contexts attract different protesters. Yet, so far, nothing is
known about the demonstrators who did not return their questionnaires. This brings us to the
issue of the representativeness of our samples.
3.6 Representativeness of the samples of Study 4 and Study 5.
As indicated, the response rate was very satisfying for a postal survey without reminders.
Walgrave and colleagues report response rates of the same magnitude. Response rate is seen as
the single most important indicator of how much confidence can be placed in the results of a mail
survey (Walonick, 1997). Yet, comparing the face-to-face interviews with the postal
questionnaires offers us the opportunity to raise a corner of the veil on the black hole of nonrespondents.
A dataset is representative if there is no difference between respondents and nonrespondents. In the context of representativeness, the extent of the comparability of the
demographic characteristics and predictor variables of the face-to-face interviews and the postal
questionnaires is most important. As indicated, the fact that hardly anyone refused a face-to-face
interview makes this dataset an anchor in testing the representativeness of the sample. Following
Walgrave and colleagues, we compared the demographic characteristics and the main predictor
variables (instrumental, identity, ideology and group-based anger motives) of the postal surveys
and the face-to-face interviews to evaluate the representativeness of our samples. First we will
elaborate on the representativeness of the samples derived from the demographic variables,
followed by the motivational variables. Table 3.2 provides an overview of the demographic
characteristics of the respondents and the most important predictors in Study 4 and Study 5 of the
face-to-face interviews and the surveys.
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Table 3.2
Characteristics (survey and interviews) of the protesters of the different protest events.
Study 4 (union)
Study 5 (alliance)
Variables
interviews
survey
interviews
survey
N=
115
233
123
209
Gender (% males)
61 %
56 %
50 %
48 %
Age: mean
51 years
52 years
45 years
44 years
- % (post) highschool
64 %
68 %
47 %
45 %
- % college (Bsc/Msc)
31 %
29 %
48 %
53 %
non-member
27 (23%)
46 (19%)
46 (38%)
91 (44%)
member
88 (77%)
194 (81%)
77 (62%)
117 (56%)
4.70
4.51
4.40
Educational level:
Relation to organization:
Main predictors **:
Instrumental motives
a
b
4.38
a
2.69c
Identity motives
4.76
Ideology motives
6.53a
6.18b
6.63a
6.25b
Group-based anger
5.01a
5.45c
5.67a
5.21c
Note:
3.36
3.51
* on a Likert scale with 1 (not at all) to 7 (very much)
a-b
a-c
Means differ significantly from each other at p < .001 level
Means differ significantly from each other at p <.01 level
We can be brief on the demographic characteristics of the protesters. The characteristics of the
interviewed and surveyed protesters did not differ, male and female were equally likely to be
interviewed and to return their survey, and neither age nor educational level seems to influence
the willingness to return the postal questionnaire. Affiliation with the mobilizing organization
seems not to influence the willingness to return the questionnaire; both members and notmembers were equally willing to return the questionnaire.
The motivational variables, on the other hand, do differ. Both identity and ideology
motives are stronger during the demonstration than after the demonstration for protesters from
both the union federation and Turn the Tide. Apparently, the mere presence of members of the
shared collective identity provides shared ideological definitions of ambiguous situations and
enhances feelings of commitment and solidarity. This is an interesting finding, but might be
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problematic for the representativeness of our samples. Yet, the fact that there is a similar
pattern for both the union federations and Turn the Tide—both identity and ideology motives are
stronger during the protest event—makes it less problematic. Group-based anger motives,
however, show a different pattern; union protesters are angrier at home, whereas Turn the Tide
protesters are angrier during the demonstration. This finding may be a combined effect of identity
salience and mobilizing context. It may be that, in the context of value-oriented protest where
ideology motives prevail, the mere presence of people sharing one’s view increases the anger
about such an ambiguous motive as ideology. In the context of power-oriented protest where
instrumental motives will prevail, the mere presence of other people may enhance protesters’
perception of the effectiveness of the protest activity and subsequently lower their anger. These
are just speculations; when we are discussing the findings regarding group-based anger we will
take this finding into consideration and we will return to this difference in the general discussion.
In summary, the comparison between the demographic characteristics of the protesters
from the face-to-face interviews and the surveys showed no significant differences. This, in
combination with the fact that hardly anyone refused a face-to-face interview, suggests some
degree of reliability. Yet, the response pattern of the participation motives differed; identity and
ideology motives were stronger during the demonstration than after the demonstration for both
the union and Turn the Tide; and unionists were angrier at home, whereas Turn the Tiders were
angrier during the demonstration. However, this seems more a reflection of the influence of
environment on the answer tendencies than a non-response bias effect. Thus, despite the
crowded, unpredictable and erratic setting wherein data were collected, these evaluations give
some confidence in the representativeness of the samples. The experiences of both van Aelst and
colleagues and ourselves show that “with sound preparation and sufficient interviewers, a
representative picture of the demonstrators can be obtained” (van Aelst et al., 2001, p. 474).
72
Chapter 4. Instrumental, identity, ideological, and group-based anger and
context: the relative weight of participation motives.
We proposed that people may employ four fundamental motives to participate in protest:
instrumental, identity, ideology and group-based anger motives. As indicated, we assume that,
depending on individual differences and social movement contexts, the relative weight of these
motives differs. In this chapter we elaborate on the differences in the importance of the
fundamental participation motives employed due to social movement context. In this approach,
Turner and Killian’s (1987) concept of action orientation is relevant.
The general assumption underlying our hypotheses about the relationship between action
orientation and the relative weight of fundamental participation motives is that, depending on
their action orientation, movements appeal to different motives.
How action orientation influences the relative weight of participation motives is
elaborated in the comparison of participation in two protest events, one against the erosion of
early-retirement rights, and the other against the neo-liberal policies of the government. Applying
the distinction in action orientation proposed by Turner and Killian (1987), we assume that the
labour movement demonstration against the erosion of early retirement rights fits the description
of action that is predominantly power-oriented. We assume that the protest event of the Turn the
Tide alliance, on the other hand, is more value-oriented. By stressing anti-neo-liberal and
progressive policies they emphasize the ideology behind their claims, so giving participants the
opportunity to express their discontent with proposed government policies. What path to protest
participation will prevail, depending on these differences in action orientation?
In Chapter 1 we proposed a mediator-moderator model of protest participation. In this
chapter we test some hypotheses resulting from the model. We differentiate social movement
context in terms of a movement’s action orientation.
We hypothesized that power-oriented action tends to appeal to instrumental motives in
addition to identity and group-based anger motives. Moreover, we expect identity motives to
moderate instrumental motives and instrumental motives to mediate between identity and groupbased anger motives.
With regard to value-oriented protest, we proposed, on the other hand, that it tends to
trigger ideology motives also, in addition to identity and group-based anger motives. In this
social movement context, we assume that identity motives moderate ideology motives and that
ideology motives mediate between identity and group-based anger motives.
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73
In statistical terms, we test in this chapter a mediator-moderator model accounting for
protest participation. The assumption underlying the social movement context moderator model
is that these two movement contexts differ in emphasizing instrumental or ideological reasons to
participate. As a consequence, the moderator (identity motives) moderates different mediators
(instrumental or ideology motives). In power-oriented protest, identity motives will moderate
instrumental motives, while instrumental motives will mediate between identity and group-based
anger. Finally, in value-oriented protest, identity motives will moderate ideology motives and
ideology motives will mediate between identity and group-based anger motives.
4.1 Method
4.1.1 Sample
To test our hypotheses with respect to action orientation and the relative importance of
participation motives we compared data in relation to the participation motives from Study 4 and
Study 5 (see Chapter 3, Methodology).
4.1.2 Measures
All data for the analyses in this study were taken from postal survey questionnaires and were selfassessments. The main measures fall into the following categories: value and expectancies
(instrumental motive), identification with the group (Study 4: union organization, Study 5:
organizations falling under Turn the Tide alliance umbrella), ideology motives, group-based
anger motive, and motivational strength. All variables were measured on a Likert scale ranging
from 1 (not at all) to 7 (very much).
Instrumental motive. Following Klandermans (1984) and Simon et al. (1998; 2003),
instrumental participation motives were operationalized in terms of values and expectancies. The
value of expected outcomes was multiplied by the expectancy that the protest event would
contribute to achieving the outcome. The value component was stated as: “To what extent is your
personal situation affected by the government plans concerning early retirement rights?” The
expectancy component was stated as: “To what extent do you think that this protest event will
contribute to persuading the government not to implement their plans concerning early retirement
rights?”
Identity motive. Respondents’ identification with the union (Study 4) or an organization of
the Turn the Tide alliance (Study 5) was measured with the same items referring to the different
groups. We measured emotional significance (e.g., “I like being part of this group”), commitment
(e.g., “I feel committed to this group) and shared “we” (e.g., “I have much in common with other
members”) and involvement (e.g., “I am involved in this group”). In all three samples, the items
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
74
loaded on a single factor and accordingly we calculated one identity motive measure (identity
motive: Study 4
= .96, and Study 5
= .98) for each respondent by averaging responses over
items.
Ideology motive. This motive was measured by six items: “I am protesting because: I am
worried about the proposed government policy”, “I am concerned about the proposed government
policy”, “I want to take my responsibility”, “The proposed government policy is against my
principles”, “I find the proposed government policy unfair”, “I find the proposed government
policy unjust”. The “proposed government policy” differs for the two studies: Study 4 concerns
early retirement rights, and Study 5, so-called neo-liberal policies. In both samples the items
loaded on a single factor and accordingly we calculated one ideology motive measure (ideology
motive: Study 4
= .85, and Study 5
= .88) for each respondent by averaging responses over
items.
Group-based anger. Following van Zomeren et al. (2004), we measured group-based
anger with four items derived from Mackie et al. (2000). “Thinking about the government
proposals makes me feel…(angry, irritated, furious, displeased). We obtained a reliable scale
(Study 4
= .88, and Study 5
= .81).
Motivation to participate in the protest. Respondents indicated the strength of their
motivation to participate with the following item: “How determined were you to participate in
this protest event?”
4.2 Results
4.2.1 Preliminary analyses.
Table 4.1 provides the correlation matrices, means and standard deviations of the Study 4 and
Study 5 variables.
75
CHAPTER 4
Table 4.1
Correlations, means, and standard deviations for instrumental, identification, and ideological
participation motives, and motivation for Study 4 and Study 5.
M
Study 4
1. Gr.-based anger 5.45
Power-oriented 2. Instrumental♦
Study 5
1.48
23.45
15.96
3. Identity
4.46
4. Ideology
5. Motivation
2
3
4
5
-.28**
--
2.15
.08
.39** --
6.40
0.74
.34**
.20**
.07
6.51
0.83
.27**
.19**
.24**
1. Gr.-based anger 5.21
1.55
--
Value-oriented 2. Instrumental♦
Note:
1
SD
-.33** --
19.12
14.85
.10
--
3. Identity
3.76
2.72
.16*
-.07
--
4. Ideology
6.43
0.77
.41**
.12
.26*** --
5. Motivation
6.29
1.23
.43**
.12
.28**
.52**
--
Valid N (listwise) Study 4 = 220 and Study 5 = 205
♦
Value times expectancy (V x E)
* p < .05, ** p < .01
The correlations of the participation motives with the strength of motivation in the poweroriented protest event show that instrumentality, identity, ideology and group-based anger
motives are positively related to motivation. The pattern of correlations in the context of poweroriented protest shows that instrumental motives are positively related to identity, ideology,
group-base anger and strength of motivation, whereas the pattern of correlations in the context of
value-oriented protest reveals that instrumental motives are not significantly related to the other
motives and strength of motivation. This suggests that instrumental motives are irrelevant in
value-oriented protest.
Identity motives in the context of power-oriented protest are positively related to
instrumental and not to ideology and group-based anger motives. Identity motives in a valueoriented protest event, however, are positively related to ideology and group-based anger
motives.
4.2.2 Analyses strategy.
Recall that we hypothesized a main effect for instrumental, identity and group-based anger
motives for power-oriented protest, and identity, ideology and group-based anger motives for
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
76
value-oriented protest. Next, we are interested in determining whether identity motives
moderate the influence of instrumental rather than ideology motives upon motivation to
participate in the power-oriented protest event. In contrast, in the context of the value-oriented
protest, we expect identity to moderate ideology rather than instrumental motives. Finally, we
wish to test the mediating effects of instrumental motives in power-oriented protest events, and of
ideology motives in value-oriented protest events, on identity and group-based anger motives.
Main effects. To test for replication of the findings of Simon et al. (1998) and van
Zomeren et al. (2004), and to investigate the extent to which ideology adds to the explained
variance in the strength motivation two separate hierarchical regressions were conducted for both
social movement contexts separately (four regressions in total). In the first hierarchical regression
the four motives were hierarchical introduced. First the instrumental path suggested by
Klandermans (1984) was entered (Model 1), followed by the dual path suggested by Simon et al.
(1998, Model 2), and the dual-path proposed by van Zomeren et al. (2004, Model 3) was
introduced. In Model 4 the three paths are combined, and finally an ideology path was entered
(Model 5).
Moderating effects. The strategy commonly used to test moderating effects involves
entering the main effect variables in the first step followed by entering the interaction term in the
next steps. Interactions are indicated by a significant increase in the R2 statistic. Procedures
outlined by Aiken and West (1991) were followed to calculate regression slopes and plots.
Following Aiken and West, before the interaction terms were calculated, the criterion variables
and all continuous predictor variables (i.e., instrumental, identity, ideology and group-based
anger) were standardized. To test whether identity moderates instrumental motives in the powerrather than the value-oriented protest, the interaction of identity motives and instrumental
motives was incorporated in the model (model 6). Finally, to test whether identity moderates
ideology motives in the value- rather than the power-oriented protest, the interaction of identity
motives and ideology motives was incorporated in the model (model 7).
Mediating effects. To test whether identity not only moderates what path to protest
participation will prevail but also influences what makes group members angry, a set of
mediational analyses were conducted. More precisely, we hypothesized that instrumental rather
than ideology motives would explain the relation between identity motives and group-based
anger in power-oriented protest events, whereas ideology rather than instrumental motives would
explain the relation between identity motives and group-based anger in value-oriented protest
events. To test our ideas concerning the mediational role of group-relevant appraisals on identity
and group-based anger motives, we followed Baron and Kenny’s (1986) three-step procedure.
CHAPTER 4
77
First, according to this procedure, the predictors should be significantly related to the mediator
variables; second, the predictors should be related to the outcome variables; and, third, the
mediating variables should be related to the outcome variables with the predictors included in the
equation. If the three conditions hold, at least partial mediation is present (Liden et al., 2000). If
the independent variables have non-significant beta weights in the third step, then complete
mediation is present (Baron & Kenny, 1986).
As a result of the hierarchical regressions and the mediation analyses, a baseline model
accounting for motivation to participate in political protest will be proposed. Subsequently, this
baseline model will be tested using Structural Equation Modelling, whereafter this baseline
model will be modified according to the different social movement contexts.
4.2.3 Main effects.
The results of the first analysis (power-oriented) demonstrate that instrumental, identity, groupbased anger and ideology participation motives each have a significant main effect on the
strength of motivation to participate in the power-oriented union protest event (see Model 1, 2, 3,
and 5, Table 4.2).
In the first Model of the power-oriented protest, the findings of Klandermans (1984) are
replicated, demonstrating that instrumental participation motives influence the motivation to
participate. In the second Model, the findings of Simon et al. (1998) are replicated, showing that
instrumental and identification concerns both independently influence the motivation to
participate. In the third Model, the findings of Van Zomeren et al. (2004) are replicated, showing
instrumental and group-based anger motives both independently influence the strength of
motivation to participate in power-oriented protest. Entering instrumental, identity and groupbased anger motives in one model (Model 4) reveals that instrumental motives, net of the other
two motives, no longer have a unique influence on the strength of motivation to participate.
Interestingly, contrary to our expectations, instrumental motives seem to be mediated by groupbased anger. We will return to this in our mediational analyses. In the fifth Model, our new
pathway to protest participation is introduced: ideology motives. The data reveal that identity,
group-based anger and ideology motives independently influence the strength of motivation to
participate in power-oriented protest. Moreover, the data show that the ideology path is relatively
the most important path ( = .24) spurring strength of motivation to participate in a poweroriented protest event, followed by identity ( = .20), group-based anger ( = .15) and finally by
instrumental participation motives ( = .05). This indicates that the influence of the ideology path
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
78
on motivation to participate in power-oriented protest events is nearly five times higher than
the influence of the instrumental path.
Table 4.2
Hierarchical regressions of motivation to participate in power- and value-oriented protest events on
instrumental, identity, ideology and group-based anger motives.
Motivation to participate
Power-oriented
Model 1 Model 2
Instrumental (A) .23***
.15*
Identity (B)
.20***
Anger (C)
Model 3
.15*
.23***
Model 4
Model 5
Model 6
Model 7
.08
.05
.08
.07
.20***
.20***
.17*
.15*
.22***
.15*
.17*
.14*
.24***
.24***
.32***
Ideology (D)
BxA
-.14*
BxD
-.07
-.32***
Model F
11.30***
9.49***
10.78*** 10.13*** 11.19*** 10.08***
13.54***
df
(1,208)
(2,207)
(2,207)
R2
.05
.08
.09
2
R change
.03***
.04***
(3,206)
.13
a
b
.05***
(4, 205)
(5, 204)
(6, 203)
.18
.20
.29
.05***
.02*
.09***
Value-oriented
Model 1 Model 2
Model 3
Model 4
Model 5
Model 6
Model 7
Instrumental (A)
.12
.09
.10
.06
.05
.05
.22***
.14*
.13*
.15*
.40***
.23***
.23***
.22***
.45***
.45***
.38***
Identity (B)
.14
.28***
Anger (C)
.43***
Ideology (D)
BxA
-.04
BxD
-.03
-.14*
Model F
2.66
8.67***
22.77***
18.66*** 29.23*** 23.37*** 20.53***
df
(1,170)
(2, 169)
(2, 169)
(3,168)
(4,167)
(5, 166)
(6,165)
R2
.02
.09
.20
.25
.41
.41
.43
.16***
.00
.02*
2
R change
Note:
.07***
.18***
a
.16***
b
Coefficients are standardized regression weights (betas)
* p < .05, **, p < .001
power-oriented: F total F (6; 209) = 13.64, p < .001, R2 total = .29
value-oriented: F total (6; 165) = 20.53, p < .001, R2 total = .43
a 2
R change between model 1 and model 3
b 2
R change between model 2 and model 4
79
CHAPTER 4
As expected, identity, group-based anger and ideology motives explain the motivation to
participate in value-oriented protest events, whereas instrumental motives do not significantly
influence the motivation to participate (see Steps 1, 2, 4 and 5, Table 4.2).
In the first Model of the value-oriented protest, the findings of Klandermans (1984) are
not replicated; indeed, instrumental motives do not influence the strength of motivation in valueoriented protest. The second Model of the value-oriented protest reveals that the findings of
Simon et al. (1998) are not replicated either: instrumental motives do not influence the strength of
motivation, whereas identity motives do. The findings of van Zomeren et al. (2004) are not
replicated either: again, instrumental motives are not related to strength of motivation, whereas
group-based anger motives are. Entering instrumental, identity and group-based anger motives in
one model (Model 4) reveals that identity and group-based anger have a unique influence on
motivational strength in value-oriented protest. In the fifth Model, our new pathway to protest
participation is introduced: ideology motives. The data reveal that, in the context of valueoriented protest, identity, group-based anger and ideology motives independently influence the
strength of motivation to participate. Ideology motives (
= .45) are a strong predictor of
motivational strength in the value-oriented protest event, followed by group-based anger motives
( = .23) and identity motives ( = .14). The influence of the ideology path on motivation to
participate in a value-oriented protest event is more than three times greater than the influence of
identity motives on motivation to participate; this supports our assumption that people participate
in a value-oriented action to express their view.
Additionally, although ideology motives influence strength of motivation to participate in
power-oriented protest events, these studies show that the influence of the ideology path on
motivation to participate in value-oriented protest events ( =. 45) is much stronger than in
power-oriented protest events ( = .24).
4.2.4 Moderating effects of identity and social movement context.
We also formulated hypotheses on the interaction between identity and instrumental motives and
identity and ideology motives (see Model 6 and 7, Table 4.2). We expected that identity motives
would moderate instrumental and ideology motives. Following Aiken and West (1991),
interactions are indicated by a significant increase in R2 if the interaction term is entered in the
regression. In the context of power-oriented protest, identity motives moderate, as expected,
instrumental motives; yet, contrary to our expectations identity motives moderate ideology
motives as well. In the context of value-oriented protest, only ideology motives are moderated by
identity motives.
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
We
hypothesized
that
the
80
relationship between motivational strength and
instrumental/ideology motives was contingent not only upon identity, but also upon social
movement context. In the abovementioned analyses, context was not taken into account as a
variable, although the influence of context was inferred from the difference between the powerand the value-oriented protest. So, to test our hypothesis concerning the moderator model of
social movement context more precisely, we conducted a hierarchical regression on the two
samples together with two three-way-interaction terms: social movement context (“0” = alliance,
“1” = union), identity, and instrumentality, and social movement context, identity, and ideology.
To test this social movement context as moderator hypothesis, we first regressed
motivational strength on instrumental, ideology, identity and context. In a second step, the
products of each variable were entered in the regression. The third step contains the product of all
four predictor variables. It is important for the social movement and identity as moderator
hypothesis that both 3-way interactions were significant: the identity/instrumental/context: F (5;
376) = 31.63, p < .001,
.001,
= -.08, p = .06; the identity/ideology/context: F (6; 376) = 32.06, p <
= -.22, p < .001, indicating that the relationship between instrumental and ideology
motives and motivational strength varies across levels of identity, mobilizing context, and/or a
combination of identity and mobilizing context.
To interpret these findings we have plotted the relationship between motivational strength
and instrumental and ideology motives at high and low levels of identity for power- and valueoriented protest separately (Aiken & West, 1991). First, each predictor was standardized. For the
outcome variable (motivational strength), interaction effects were plotted using the parameter
estimates derived from the standardized regression equations. Predicted values were computed
using scores that were one standard deviation below and above the mean of instrumental and
ideology motives (for low and high identity motives, respectively, Aiken & West, 1991). In
Figure 4.1, graphs a and b display the influence of instrumental and ideology motives on
motivational strength for low and high identifiers in the context of power-oriented protest. Graph
c of Figure 4.1 displays the influence of ideology motives on motivational strength for low and
high identifiers in the context of value-oriented protest6.
6
The moderating effects of identity on instrumental motives in the context of value-oriented protest reached no
significance ( = -.09, p = .20). Therefore this interaction is not plotted.
81
CHAPTER 4
identity low
identity high
identity low
identity high
identity high
1
1
-1
motivation
motivation
motivation
1
identity low
-1
- 1 sd
+1sd
instrumental
power-oriented
a
-1
- 1 sd
+1sd
- 1 sd
ideology
power-oriented
b
+1sd
ideology
value-oriented
c
Figure 4.1.
Motivational strength as a function of the interaction of identity and instrumental motives and identity and
ideology motives.
The significant interaction in the first graph on identity and instrumental motives reflects the fact
that the motivational strength of weak identifiers in the context of power-oriented protest
increases as the strength of their instrumental motives increases (simple slope
= .27, p < .001),
whereas the motivational strength of strong identifiers remains invariably high (simple slope
=
.03, ns), irrespective of the level of instrumental motives. Apparently, the less protesters identify
with the union, the more their motivational strength is influenced by instrumental motives,
whereas the motivational strength of strong identifiers is high, irrespective of the level of
instrumental motives.
The significant interaction of the second graph, the interaction of identity and ideology in
the context of power-oriented protest, reflects the same pattern: the motivational strength of weak
identifiers is strongly influenced by their ideology motive (simple slope
= .63, p < .001),
whereas the motivational strength of strong identifiers is unaffectedly high (simple slope
= .03,
ns). This interaction was unexpected. Apparently, the less protesters identify with the others
involved, the more their motivational strength is influenced by ideology motives, whereas, again,
the motivational strength of strong identifiers remains high, irrespective of the level of their
ideology motives. We will return to this issue in the discussion.
The results found for the value-oriented protest event reveal a slightly different pattern.
Again, the motivational strength of weak identifiers is strongly influenced by ideology motives
(simple slope
= .69, p < .001). However, in contrast to the former two interactions, motivational
strength of strong identifiers increases (simple slope
= .37, p < .001) as their ideology
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
82
participation motive increases. Thus, motivational strength of weak identifiers is strongly
influenced by the level of their ideology motives; yet, contrary to power-oriented protest, the
motivational strength of strong identifiers is stronger when ideology motives are stronger.
The findings of these moderation analyses are contrary to our expectations. We expected
that the influence of instrumental and ideology motives on motivational strength would be
stronger for strong rather than weak identifiers, contingent on social movement context. Our
studies reveal a more complex pattern. First of all, the motivational strength of weak rather than
strong identifiers is strongly influenced by increasing instrumental and ideology motives. Next,
the motivational strength of strong identifiers in the context of power-oriented protest is high,
irrespective of the level of instrumental or ideology motives, whereas the motivational strength of
strong identifiers in the context of value-oriented protest increases when their ideology motives
increase. Hence, contrary to power-oriented protest where the level of instrumental and ideology
motives does not influence the motivational strength of strong identifiers, the level of ideology
motives does influence motivational strength for strong identifiers in the context of valueoriented protest.
These findings suggest that the impact of instrumental and ideology motives on
motivational strength differs for weak and strong identifiers contingent upon social movement
context. One important finding is that, in the context of power-oriented protest, the motivational
strength of strong identifiers remains unaltered by the (high) level of instrumental and ideology
motives. We assumed, however, that identification with an organization staging power-oriented
protest would influence instrumental rather than ideology motives, whereas identification with an
organization staging value-oriented protest would influence ideology rather than instrumental
motives. So far, this matter remains untested. We therefore conducted eight regressions to test the
effects of identification on instrumental and ideology motives for weak and strong identifiers in
the context of power- and value-oriented protest. Table 4.3 provides an overview of these
regressions.
83
CHAPTER 4
Table 4.3
Regressions between identification and instrumental/ideology motives for weak and strong identifiers with
organizations that stage power- and value-oriented protest.
Power-oriented
Motive
Value-oriented
weak
strong
weak
strong
identification
identification
identification
identification
Instrumental
= .18
= .25***
= -.17
= -.03
Ideology
= -.06
= .08
= .04
= .34***
Note:
*** = p < .001
In the context of power- and value-oriented protest, identity motives of weak identifiers are not
related to instrumental or ideology motives. Identity motives of strong identifiers in the context
of power-oriented protest are much less related to ideology motives (
= .08, ns) than to
instrumental motives ( = .25, p < .001). In the context of value-oriented protest, the data reveal
the opposite pattern: identity motives are negatively, though weakly, related to instrumental
motives ( = -.03, ns) and strongly related to ideology motives ( = .34, p < .001). This suggests
that identification with an organization that stages power-oriented protest influences instrumental
rather than ideology motives, whereas identification with an organization staging value-oriented
protest triggers ideology rather than instrumental motives.
In conclusion, identification with organizations staging power-oriented protest reinforces
instrumental rather than ideology motives, whereas identification with organizations staging
value-oriented protest reinforces ideology rather than instrumental motives. Furthermore,
identification moderates the relation between instrumental and ideology motives and motivational
strength in the context of power-oriented protest, and between ideology motives and motivational
strength in the context of value-oriented protest. In other words, the relation between
instrumental and ideology motives and motivational strength differs at different levels of
identification. More specifically, the stronger the instrumental or ideology motives of weak
identifiers, the stronger the motivation to participate in power-oriented protest; and the stronger
the ideology motives of weak identifiers in the context of value-oriented protest, the more they
influence motivational strength. Thus, the motivational strength of weak identifiers is strongly
influenced by the level of instrumental and ideology motives, and both levels of instrumental and
ideology motives are unrelated to identity motives.
The pattern of strong identifiers is less clear-cut: in the context of power-oriented protest,
the motivational strength of strong identifiers is invariably high independent of level of
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
84
instrumental and ideology motives. However, instrumental motives are influenced by
identification with the union, whereas ideology motives are unrelated to this identification. This
suggests that, although ideology motives play a vital role in motivational strength, they are not
group-based, whereas instrumental motives are. In the context of value-oriented protest, the
motivation of strong identifiers is reinforced by stronger ideology motives. Moreover, identity
motives are related to ideology rather than instrumental motives. This suggests that ideology
motives are group-based. We will return to this in the discussion.
4.2.5 Mediating effects of instrumental and ideology motives.
We hypothesized that instrumental rather than ideology motives would explain the relation
between identity motives and group-based anger in power-oriented protest events, whereas
ideology rather than instrumental motives would explain the relation between identity motives
and group-based anger in value-oriented protest events. To test our ideas concerning the
mediational role of group-relevant appraisals on identity and group-based anger motives, we
followed Baron and Kenny’s (1986) three-step procedure. As indicated, (1) the predictor should
be significantly related to the mediator (identity motives are related to instrumental motives,
=
.42, p < .001), (2) the predictors should be related to the outcome variables (identity motives are
related to group-based anger,
= .08, p < .10) and (3) the mediating variable should be related to
the outcome variable with the predictor included in the equation (instrumental motives are related
to group-based anger controlling for identity motives,
overview of the regressions for power-oriented protest.
= .29, p < .001). Table 4.4 provides an
85
CHAPTER 4
Table 4.4
Regressions to test mediation of instrumental on identity and group-based anger motives in poweroriented protest: (1) identity on instrumental motives, (2) identity on group-based anger motives, and (3)
group-based anger on instrumental controlled for identity motives.
Power-oriented
Instrumental
Anger
Anger
Equation 1
Identity
.42***
Equation 2
.08º
Identity
Equation 3
.28***
Instrumental
-.01
Identity
Model F
38.89***
18.07***
9.07***
df
(1; 214)
(1; 217)
(2; 211)
R2
.15
.08
.08
Note:
º p < .10, ***p < .001
Thus, for the mediational model of the power-oriented protest the three mediation conditions
were satisfied (cf. Baron & Kenny, 1986; Judd & Kenny, 1981). Most important, when identity
and instrumental motives were included as predictors of group-based anger motives, instrumental
motives predicted group-based anger significantly, whereas identity was reduced from
= .08 to
= -.01 (p =. 84), indicating that evidence for full mediation exists because the relationship
between identity and group-based anger motives is no longer significant after controlling for the
effects of instrumental motives (Baron & Kenny, 1986). An investigation of the indirect effect of
instrumental motives on group-based anger revealed that instrumental motives reduced the effect
of identity motives on group-based anger significantly, as the Sobel-Goodman test shows (Sobel
z-value = 3.35, p < .001, direct: -.01, indirect: .08). Thus, the relation between identity and groupbased anger in power-oriented protest can be completely explained by instrumental motives.
We assumed, however, that in power-oriented protest the relation between identity and
group-based anger would be explained by instrumental rather than ideology motives. Following
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
86
the same strategy, we tested the mediational model with ideology as mediator. This analysis
revealed no mediational effect of ideology between identity and group-based anger in poweroriented protest (Sobel z-value = .82, p = .41), indicating that protesters identifying with
organizations staging power-oriented protests are angry for instrumental rather than ideological
reasons.
The same strategy was followed to test the mediational effects of ideology rather than
instrumental motives on identity and group-based anger in value-oriented protest. In this
mediation model, stronger identity motives are accompanied by stronger ideology motives ( =
.26, p < .001); stronger identity motives are accompanied by stronger group-based anger motives
( = .17, p = .03); and ideology motives are related to group-based anger controlling for identity
motives ( = .41, p < .001). Table 4.5 gives an overview of the regressions.
Table 4.5
Regressions to test mediation of ideology on identity and group-based anger motives in value-oriented
protest: (1) identity on ideology motives, (2) identity on group-based anger motives, and (3) group-based
anger on ideology controlled for identity motives.
Value-oriented
Ideology
Anger
Anger
Equation 1
Identity
.26***
Equation 2
.17*
Identity
Equation 3
Ideology
.41***
Identity
.06
Model F
13.20***
41.26***
19.22***
df
(1; 183)
(1; 201)
(2; 179)
R2
.07
.17
.18
Note:
*p < .05, ***p < .001
It is of primary interest, however, that, when ideology and identity were included as predictors of
group-based anger, ideology predicted group-based anger significantly,
= .41, p < .001,
87
CHAPTER 4
whereas the beta weight of identity motives was reduced from
= .17 to
= .06, p = .38. An
investigation of the indirect effect of ideological motives on group-based anger revealed that
ideological motives reduced the effect of identity motives on group-based anger significantly as
the Sobel–Goodman test shows (Sobel z-value = 3.13, p < .001, direct: .06, indirect: .10). Thus,
the path between identity and group-based anger was reduced significantly when ideology was
included in the model, and the direct relation between identity and group-based anger became
non-significant in the analysis. This suggests full mediation.
What about the mediational influence of instrumental motives on the relation between
identity and group-based anger in value-oriented protest? This analysis revealed no such
mediational effect (Sobel z-value = -.79, p = .43). This suggests that the more people identify
with organizations staging value-oriented protest, the more their group-based anger can be
explained by ideological rather than instrumental reasons. See Figure 4.2 for a graphic overview
of the observed mediational models of the power- and value-oriented protest events.
power-oriented protest
.08º
Identity
(-.01)
.42***
Instrumental
value-oriented protest
Group-based
anger
.28***
(.29***)
.17*
Identity
(.06)
Group-based
anger
.26***
Ideology
.41***
(.41***)
Figure 4.2.
Mediational model for power-oriented protest event and value-oriented protest event.
All in all, the analyses show that the influence of instrumental and ideology motives on
motivational strength is contingent not only upon identity, but also upon social movement
context. Moreover, social movement context explains the origin of protesters’ anger.
4.2.6 Structural equation modelling.
Structural equation modelling has one advantage over the previous analyses. It allows a direct
test of the hypothesis that instrumental and ideology motives mediate between identity and
group-based anger motives; and, although it is more difficult to test moderator models with
structural equation modelling, we were able to incorporate the identification as moderator effect
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
88
and the social movement context moderator effect by using a series of multiple-group
comparisons.
In order to examine the models that represent our argument, we employed Analysis of
Moment Structures (AMOS) software (Arbuckle, 1997). In building our proposed baseline
model, we followed the development of social psychological research in protest participation.
First, we tested a model comprising the instrumental and identity paths to protest participation
(Simon et al., 1998), followed by a model encompassing the instrumental and group-based anger
paths (van Zomeren et al., 2004). Next, we tested a model encompassing instrumental, identity
and group-based anger motives, which we subsequently extended by adding an ideology
pathway. The result was a model combining the instrumental, identity, ideology and group-based
anger pathways to protest participation. The last step in building our proposed baseline model
accounting for the strength of motivation to participate in protest was to include the mediating
effects of instrumental and ideology motives on identity and group-based anger motives.
Finally, two multiple-group comparison analyses were conducted to test the moderating
effects of identification and social movement context. The multiple-group analysis of the
moderating effects of identity was set up to test whether identity motives influence (direct or
indirect) the motivational strength of strong identifiers whereas they do not for weak identifiers.
The multiple-group analysis testing the moderating effects of social movement context was set up
to test whether instrumental motives mediate between identity and group-based anger in the
context of power-oriented protest and ideology motives on identity and group-based anger in the
context of value-oriented protest.
In multiple-group comparison, the baseline model is fitted separately to the covariance
matrices of each social movement context (see Byrne, 2004). Taking the moderating effects of
identity into account we hypothesize that all the paths from identity motives will be of minor
importance for weak identifiers and thus insignificant, whereas they play an important role for
high identifiers. Furthermore, taking the moderating effects of social movement context into
account, we hypothesize that the ideological path in power-oriented protest and the instrumental
path in value-oriented protest will be of minor importance in explaining the variance in
motivational strength and thus insignificant. Consequently, applying an inductive approach, the
insignificant paths will be fixed to zero. Yet, we hypothesize that fitting the baseline model to the
weak and strong identifiers sample and the power- and value-oriented social movement context
will reveal different insignificant paths, consequently the modified models will be different. If a
constrained model fits the data as well as an unconstrained model, then the two models have
comparable fit to the data and for parsimony reasons, that is, if the same amount of variation in
89
CHAPTER 4
motivational strength is explained with fewer parameters, the constrained model is preferred. We
will elaborate on the method in the section on multiple-group comparison.
SEM: Instrumental and identity pathways to protest participation.
As indicated, Simon and colleagues (Simon et al., 1998; Stürmer & Simon, 2004; Stürmer et al.,
2003) showed that protesters could take two routes to protest participation: an instrumental and
an identity route. The instrumental route is taken when people participate because they expect
that, by participation, they might solve a problem at affordable costs, and the identity path is
taken when people identify with the others involved. According to Simon and colleagues, the two
pathways are independent pathways to participation. The first model tested represents the direct
effects of instrumentality and identity on motivation (see Figure 4.3). Note that in order to build a
baseline model of protest participation, the alliance and the union protesters are taken together (N
= 449). Multiple-group comparison analyses, however, are carried out for the weak and strong
identifiers and the power- and value-oriented protest separately.
instrumental
.12**
motivational
strength
identification
.25***
Note. * = p < .05, * * = p < .01, *** = p < .001.
Figure 4.3.
Structural equation model, instrumental and identification pathway predicting motivation to participate in
protest events.
This model does not fit the data very well, with a significant chi-square value,
2
(1; 449) =
13.64, p < .001. Moreover, other fit indices also indicate poor fit: comparative fit index (CFI) =
.76, Normed Fit Index (NFI) = .77 and root-mean square error of approximation (RMSEA) = .15
(see Hu & Bentler, 1999). In other words, although the pathways are significantly related to
protest participation (instrumental
= .12, p = .01 and identity
= .25, p < .001), the overall
model is not significant. Interestingly, the beta weight of the identity path is of the same
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
90
magnitude as the beta weights reported by Simon and colleagues (Simon et al., 1998; Stürmer
& Simon, 2004; Stürmer et al., 2003) ranging from .22 to .26 (with an exception in the USA gay
movement of .54). These beta weights represent the influence of identity on intention to
participate in political protest. In one study they measure actual participation, resulting in a beta
weight of .18 (Stürmer & Simon, 2004).
However, the beta weight of the instrumental motive is rather low compared with the beta
weights reported by Simon and colleagues. They report beta weights for instrumental motives
between .08 and .20 for the collective motive, .10 and .38 for the normative motive, and .08 and
.47 for the reward motive, whereas the beta weight of instrumental motives in our total sample is
.12, .19 for the power-oriented and .10 for the value-oriented. We will return to this in the general
discussion.
Furthermore, the Squared Multiple Correlation (comparable with R2 in regression) of
motivational strength that is used to judge the extent to which each of the independent variables
contributes toward predicting the dependent variables is in this model .08; this is comparable
with the explained variance in the study measuring actual participation in political protest (7%,
Stürmer & Simon, 2004)
Thus, both pathways uniquely predict protest participation, and the beta weights are
comparable with the findings of Simon, Stürmer and colleagues. Moreover, the explained
variance of motivational strength and actual participation is of the same magnitude. Thus, in
general, the findings of Simon and Stürmer and colleagues are replicated.7
SEM: Instrumental and group-based anger pathways to protest participation.
Van Zomeren et al. (2004) propose a different dual path model for protest participation. The
routes to protest participation suggested by these scholars consist of an instrumental pathway and
a group-based anger pathway. The instrumental pathway in this model is also taken by people
who want to solve a problem or, as van Zomeren et al. (2004) argue, people engaged in problemfocused coping. The group-based anger pathway, however, is aimed at emotion-focused coping:
protest participation is aimed at reducing the emotions attached to the problem. Van Zomeren and
colleagues hold that these two pathways are two independent pathways to protest participation.
Accordingly, our second model is a replication of the studies of van Zomeren et al. (2004) and
represents the direct effects of instrumental and group-based anger on motivation (see Figure
4.4).
91
CHAPTER 4
instrumental
.10*
motivational
strength
.34***
anger
Note. * = p < .05, * * = p < .01, *** = p < .001.
Figure 4.4.
SEM: instrumental and group-based anger path predicting motivational strength.
This model does not fit the data very well either (
2
(1; 449) = 16.32, p < .001, while the other fit
indices indicated poor fit as well: CFI = .80, NFI = .80, and RMSEA = .19).
The findings of van Zomeren et al. are replicated, in so far as the two pathways are significantly
related to protest participation (instrumental
= .10, p = .03 and group-based anger
= .34, p <
.001), but the overall model is not significant. The Squared Multiple Correlation (R2) of
motivation is .13. Hence, the explained variance of instrumental and group-based anger on
motivation is higher (.13) than the explained variance of instrumental and identity pathway (.08).
Thus, the separate pathways of the two dual pathway models explain motivation to
participate in protest events even though the models do not fit the data very well.
SEM: Instrumental, identity, and group-based anger pathways to protest participation.
Because all three routes to participation, instrumental, identity and group-based anger, appeared
to be independent pathways to protest participation, we hypothesized that the three routes
together would do better than each alone or any combination of two.
This model does not fit the data very well either (
2
(3; 449) = 33.62, p < .001, CFI = .73,
NFI = .73, and RMSEA = .15). And, again, when group-based anger is introduced, the influence
of instrumental motives on motivation to participate loses significance. Thus, two different
statistical analyses (hierarchical regression reported in section 4.2.3 and structural equation
modelling) reveal that group-based anger mediates between instrumental motives and
7
The more complex the model, the more likely a good fit (Garson, retrieved 19 July 2005
http://www2.chass.ncsu.edu/garson/pa765/structur.htm). Thus, probably due to a small number of variables the
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
92
motivational strength. The identity and group-based anger paths, however, are significantly
related to protest participation ( = .10, p = .03 and
= .34, p < .001, respectively) but the overall
model is not significant (see Figure 4.5).
instrumental
.06
identity
.22***
motivational
strength
.32***
anger
Note. * = p < .05, * * = p < .01, *** = p < .001.
Figure 4.5.
SEM: instrumental, identity, and group-based anger path predicting motivational strength.
The Squared Multiple Correlation of motivation is .16. This suggests that the explained variance
of the models increases if the two dual path models are combined. Thus, although the models do
not fit the data very well and despite the fact that the instrumental path is not significant, a
combination of the three paths increases the explained variance.
SEM: Instrumental, identity, group-based anger, and ideology paths to protest participation.
First we tested a model with the four participation motives as independent paths to protest
participation. Again, the data reveal a model with poor fit (
2
(6; 449) = 107.09, p < .001, while
the other fit indices indicate poor fit as well: CFI = .56, NFI = .56, and RMSEA = .19). By
introducing the ideology path, the direct influence of the instrumental path on motivation remains
insignificant. Adding ideology, however, does not change the impact of the other paths
dramatically. Identity, ideology and group-based anger influence independently the motivation to
participate in protest (see Figure 4.6).
model does not reach levels of significance.
93
CHAPTER 4
instrumental
identity
.04
.20***
motivational
strength
ideology
.41***
anger
Note:
.22***
*** = p < .001
Figure 4.6.
SEM: instrumental, identity, ideology, and group-based anger path predicting motivational strength.
The Squared Multiple Correlation of motivation is .19. Thus, including the ideology path again
increases the variance explained by the model. Although, a model accounting for protest
participation by simply accounting for direct effects does not fit the data, what will the model
look like with the hypothesized indirect moderating and mediating effects?
SEM: Baseline model accounting for motivation to participate in political protest.
The model wherein we included the direct effects of the four paths to protest participation reveals
that identity, ideology and group-based anger influence motivation to participate directly,
whereas instrumental motives are completely mediated by group-based anger. To recall, we
hypothesized that the relation between identity and group-based anger would be mediated by
group-relevant motives; therefore we assume that ideology and instrumental motives function as
mediators between identity and group-based anger. Figure 4.7 visualizes these pathways.
This model fits the data very well, with an insignificant chi-square value,
2
(1; 449) =
1.72, p = .42. Moreover, other fit indices also indicate good fit: CFI = 1.00, NFI = .98 and
RMSEA = .00. In other words, our hypothesized variance-covariance matrix does not differ
significantly from the original matrix. Furthermore, the Squared Multiple Correlation (R2) of
motivation in this model is .26. Thus, introducing the hypothesized mediating and moderating
effects improved the model significantly.
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
identity
94
.20***
.17***
instrumental
.15***
.14***
anger
.22***
motivational
strength
.13***
.35***
ideology
.31***
Note. *** = p < .001.
Figure 4.7.
SEM: baseline model predicting motivational strength.
All the proposed paths are highly significant; this indicates that identity, group-based
anger and ideology directly influence motivational strength. Furthermore, identity enhances both
instrumental and ideology motives, which in their turn strengthen group-based anger motives.
At two points the model departs from the one we proposed in Chapter 1. The data reveal a
path between ideology and instrumental motives that we did not hypothesize. This suggests not
only that people want to express their view but that they want to solve the problem as well. Next,
we hypothesized a direct path from instrumental motives to motivation; the data reveal, however,
that this relation is completely mediated by group-based anger. Apparently, the idea that
participation might solve a problem at affordable costs alone is not sufficient; one needs to be
angry as well. These two empirical adjustments seem to indicate that motives to participate are
neither completely instrumental nor completely ideological.
Multiple-group analysis: the impact of group identification strength.
The above tested model does not take the moderating effects of group identification and social
movement context into account. As indicated, we hypothesized moderating effects for group
identification and for social movement context. First we will present the structural equation
models for the moderating effects of group identification, followed by the moderating effects of
social movement context.
We hypothesized that group identification would reinforce motivational strength directly
and indirectly via instrumental and ideology motives: among strong identifiers identity will
95
CHAPTER 4
impact directly on motivational strength, an indirectly because instrumental and ideology motives
may mediate between identity motives and group-based anger. Among weak identifiers we
hypothesized no such direct or indirect effects of identity, but, we assumed that the motivational
strength of weak identifiers would be contingent on instrumental and ideology concerns. To test
these hypotheses the baseline model will be tested for two samples created by median split of
identity motives separately8. Next, the insignificant paths will be forced to zero and the modified
models will be tested again for the two samples separately. The third and last step is to compare
the chi-squares of the original baseline model with those of the modified models. We
hypothesized that the model for weak identifiers fits the data significantly better if the paths from
identity were fixated to zero while the model for strong identifiers is equal to the baseline model.
The key statistic is the change in chi-square from the baseline submitted to the separate samples
and the modified models. If the chi-square difference is not significant, then the baseline and
modified model have comparable fit to the data and for parsimony reasons, the modified model
will be preferred. We start of with a test of the baseline model submitted to the sample of the
weak identifiers (see Figure 4.8, to the left) and the strong identifiers (Figure 4.8 to the right).
identity
identity
-.01
.28*
instrumen .11*
-.01
tal
anger
.34***
.32*
.35*
instrumen .16**
motivation
tal
anger
.09*
.45***
.14*
.43***
.54***
ideology
Weak identifiers
.12*
.30***
.19***
ideology
Strong identifiers
Note. * = p < .05, * * = p < .01, *** = p < .001. (dashed lines represent insignificant paths)
Figure 4.8.
Baseline model submitted to weak and strong identifiers.
8
Using a median split of the union sample (m = 4.46) and the alliance sample (m = 3.76), each participant was
categorized as either a weak identifier or strong identifier.
motivation
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
The baseline model for the weak identifiers fits the data well (
2
96
(2; 148) = 4.45, p = .49, CFI =
1.00, NFI = 1.00 and RMSEA = .00. As hypothesized, the paths from identity to ideology ( = .01, ns) and from identity to instrumentality ( = -.01, ns) are not significant. However, contrary
to our hypothesis, identification with the social movement organizations does—even for weak
identifiers—reinforce motivational strength.
Testing the baseline model for strong identifiers shows acceptable goodness of fit indices,
all significant paths, but a significant chi-square. This implies, contrary to our hypothesis, a
rejection of the baseline model submitted to the strong identifiers sample (
2
(2; 271) = 5.96, p =
.05, CFI = .96, NFI = .95 and RMSEA = .08).
The next step in the multi group analyses was to force the statistically insignificant paths
for the weak identifiers samples to zero (see Figure 4.9). Forcing the identity/ideology path and
the identity/instrumental path to zero in the weak identifiers sample revealed a modified model
with very good fit as well (
2
(4; 148) = 3.15, p = .53, CFI = 1.00, NFI = .97 and RMSEA = .00).
identity
identity
0
.28*
instrumen .11
tal
0
anger
.34***
.35*
instrumen .14**
motivation
.32*
.33**
tal
anger
.09*
motivation
.45***
.14*
.43***
.54***
.12*
ideology
.28***
.19***
ideology
Weak identifiers
Strong identifiers
Note. * = p < .05, * * = p < .01, *** = p < .001.
Figure 4.9.
Modified models submitted to weak and strong identifiers.
To test whether the baseline model or the modified model fits the sample of the weak identifiers
better than the baseline model, the change in chi-square from the baseline model to the modified
model is calculated:
2
(
df. =2; 148) = 1.30, p > .50. This chi-square difference is not
CHAPTER 4
97
significant, indicating that the baseline model and the modified model fit the data equally well.
However, the more parsimonious model is to be preferred. This suggests that motivational
strength for weak identifiers is influenced directly by identification but not by the indirect effects
of identification on instrumentality and ideology motives.
Among the strong identifiers sample the baseline model fitted the data adequately. The
various paths were significant but the chi-square was significant as well. Therefore the model
was rejected. In an attempt to improve the model we added a direct path from identity motives to
group-based anger, as suggested by the modification indices (see Figure 4.9). The path
coefficient is
= .33 (p = .02) indicating that the more people identify with social movement
organizations the angrier they are. This implies a replication of the findings of Yzerbyt (2003)
and colleagues that the more the group is in me (i.e., the stronger the group identification) the
more I feel for us. The resulting model submitted to the sample of the strong identifiers revealed
a good fit (
2
(1; 271) = .67, p = .41, CFI = 1.00, NFI = .99 and RMSEA = .00). This implies, that
for people with strong ties to a social movement organization, identity motives reinforce
instrumental and ideological motives, which in turn make them angrier. Moreover, identity
motives create a shortcut to anger: people who strongly identify with a social movement
organization do not per se need instrumental or ideological motives to become angry. At face
value, this modified model seems to be an improvement, and the chi-square difference confirms
this (
2
( df. =1; 271) = 5.29, p < .05). Note, this change is significant, indicating that adding a
direct path from identity to group-based anger improves the model significantly.
At two points the model departs from the hypotheses on the moderating effects of
identification we proposed in Chapter 1. The data reveals that—even for weak identifies—
identity motives impact directly on motivational strength, and, strong identification with social
movement organizations creates a shortcut to anger.
These models reveal clearly that weak and strong identification with a social movement
organization impact on the motivational pattern that spur people to take the street. Neither
emotions nor motives of the weak identifiers are influenced by identification with the social
movement organization; therefore the motivation to become involved in the struggle for weak
identifiers can be seen as individualistic strategies to protest personal interests (or more
opportunistic strategies, Ellemers, Spears, & Doosje, 1999). The emotions and motives for strong
identifiers, on the other hand, seem to be influenced by their—strong—ties to the social
movement organization, suggesting that a threat to collective group interests result in shared
grievances and emotions which reinforces the motivation to support the group (or more solidarity
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
98
strategies, Ellemers et al., 1999). We will return to the various effects of identification on
protest participation in the general discussion.
Multiple-group analysis: the impact of social movement context.
Thus far, we have not taken the difference in mobilizing context into account, but we assumed
that the motivational dynamics might differ depending on the action orientation of the protest.
As indicated, we hypothesized that instrumental motives would prevail in the context of
power-oriented protest and ideology in the context of value-oriented protest, whereas identity and
group-based anger motives would be equally important for both action orientations. This points
to an identity path via instrumentality to group-based anger for power-oriented protest, and an
identity path via ideology to group-based anger for value-oriented protest. To test these
hypotheses, the above-presented baseline model (that is, assessed both on the power- and valueoriented protest sample) will be tested for the two samples separately. The second—inductive—
step is to force the insignificant paths to zero and test the modified models for the two samples.
The third and last step is to compare the chi-squares of the original baseline model tested for the
separate samples with the modified models for the separate samples. In other words, does the
baseline model significantly improve if it is adapted for different social movement contexts?
Hence, does the model of the power-oriented protest event significantly improve if the ideology
path is fixated to zero and does the model of the value-oriented protest event significantly
improve if the instrumental path is fixated to zero? The key statistic is the change in chi-square
for the different models. If the chi-square difference is not significant, then the two models have
comparable fit to the data and, for parsimony reasons, the modified model is preferred. We start
off by testing the baseline model for the power-oriented protest.
Testing the baseline model for the power-oriented protest shows excellent fit (
2
(2; 449)
= .33, p = .85, CFI = 1.00, NFI = 1.00 and RMSEA = .00, Squared Multiple Correlation [R2] of
motivation = .18). As hypothesized, the path from identity to ideology is not significant ( = .06,
p = .30), whereas the path from identity to instrumental motives is ( = .47, p < .001), indicating
that identification with social movement organizations staging power-oriented protest shapes
instrumental rather than ideological participation motives.
Contrary to our expectations, these structural equation analyses (like the hierarchical
regression reported in section 4.2.3) reveal that in this power-oriented protest event protesters
take the ideology path as well. We hypothesized that in power-oriented protest the instrumental
rather than the ideology path would prevail. Apparently, expressing one’s view and venting one’s
anger is more important in the context of power-oriented protest than we assumed. We will return
99
CHAPTER 4
to this in the discussion. The path from ideology to group-based anger is mediated by
instrumental motives, indicating that the path from ideology to motivation via group-based anger
is partly explained by instrumental motives.
Forcing the identity/ideology path to 0 revealed a modified model with excellent fit as
well (
2
(3; 449) = 1.21, p = .75, CFI = 1.00, NFI = .99 and RMSEA = .00). See Figure 4.10.
identity
.19***
.47***
instrumental
0
.18***
.20***
anger
.30***
.13**
motivational
strength
.21***
ideology
Note:
* * = p < .01, *** = p < .001
Figure 4.10.
Baseline model modified for power-oriented protest.
Then, what model fits the data of the power-oriented protest event better, the baseline model or
the modified model with an identity/instrumental path and an ideology component? As indicated,
the key statistic of interest here is the change in chi-square of the baseline model submitted to
power-oriented protest sample compared with the modified model:
2
( df. =1; 213) = .88, p >
.70. This chi-square difference is not significant, indicating that the baseline model and the
modified model have comparable fit to the data. However, for parsimony reasons the modified
model is preferred. Hence, the model with an instrumental path and an ideology component is
more parsimonious and fits the data equally well.
Moreover, the finding of the mediational analysis in section 4.2.5, that instrumental rather
than ideology motives mediate the relation between identity and group-based anger in the context
of power-oriented protest, is replicated with structural equation analysis, indicating that the
group-based anger of protesters in a power-oriented protest is influenced by instrumental
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
100
motives. These results suggest that instrumental rather than ideology motives function as
group-relevant motives in power-oriented protest.
A final remark about the modified model in the context of power-oriented protest is about
the ideology path. As indicated, we did not hypothesize an ideology path in power-oriented
protest. The data reveal, however, a direct path from ideology to motivational strength, and an
indirect path via group-based anger (people who want to express their view and vent their anger)
and an indirect path via instrumental motives to group-based anger, indicating that, in the context
of power-oriented protest, the group-based anger of protesters taking the ideology path may be
influenced by instrumental motives.
Subsequently, the baseline model was tested for the value-oriented protest sample (
2
(2;
449) = 2.31, p = .32, CFI = 1.00, NFI = .98 and RMSEA = .03, Squared Multiple Correlation of
motivation = .33). As hypothesized, three paths are non-significant: identity to instrumental
motives ( = -.09, p = .18), ideology to instrumental motives ( = 10, p = .15), and instrumental
to group-based anger motives ( = .05, p = .48), indicating that an identity/ideology path to
value-oriented protest prevails. Forcing these instrumental paths to zero creates a modified model
with an identity/ideology pathway to value-oriented protest.
This modified model fits the data well (
2
(5; 449) = .18, p = .32, CFI = .98, NFI = .95 and
RMSEA = .05, and the Squared Multiple Correlation of motivation = .34). Figure 4.11 provides
an overview of this modified model.
identity
0
.23*** instrumental
.0
.14*
0
anger
.42***
.30***
motivational
strength
.44***
ideology
Note. * = p < .05, *** = p < .001.
Figure 4.11.
Baseline model modified for value-oriented protest.
Does this modified model fit the data of the value-oriented protest sample better than the baseline
model? The change in chi-square is 5.30, whereas the change in degrees of freedom is 3, which is
CHAPTER 4
101
not significant (p > .20), indicating that the baseline model and the modified model have
comparable fit to the data. However, for parsimony reasons the modified model is preferred.
Thus, a model with only an ideology path to protest participation accounts as well as the
complete baseline model for the variance in strength of motivation.
Identification with an organization staging value-oriented protest is related to ideology
rather than instrumental participation motives; this indicates that ideology motives are grouprelevant for organizations staging value-oriented protest. Moreover, ideology rather than
instrumental motives mediate between identity and group-based anger. This suggests that
identification with an organization staging value-oriented protest shapes ideology rather than
instrumental motives, which in turn strengthens group-based anger. The mediational analysis of
section 4.2.5 is replicated in the structural equation analysis. Again, the data reveal that identity
processes influence not only the fact that group members are angry, but also what group
members are angry about. Hence, in the context of power-oriented protest, instrumental motives
mediate between identity and group-based anger, whereas in the context of value-oriented protest
ideology motives mediate between identity and group-based anger; this indicates that the
mediational effects of instrumental and ideology motives on identity and group-based anger are
contingent upon social movement context. This result replicates and extends the findings of
Yzerbyt et al. (2003), who showed that group-based anger mediates on group identification and
motivational strength.
4.3. Conclusions
The results of these studies provide insights into the motivational dynamics of protest
participation. Instrumental, identity, ideology and group-based anger participation motives
appear to influence the strength of motivation to participate in political protest and work together,
as a function of the action orientation of the protest. The results take us considerably beyond the
insights already available in the literature. Various pathways have been proposed and tested, but
to our knowledge no single study has tested the various pathways together or attempted to assess
the relative weight of various paths, or how group identification strength or contextual variation
influences the relative weight.
4.3.1 Model accounting for the strength of motivation to participate in political protest.
Previous research suggested the possibility of an identity path (Simon et al., 1998) and a groupbased anger path (van Zomeren et al., 2004) in addition to the instrumental path (Klandermans,
THE RELATIVE WEIGHT OF PARTICIPATION MOTIVES
102
1984) to protest participation. Our studies replicated and extended these findings by
integrating the two dual-path models into a single model and adding a fourth path, ideology. The
findings show that it is fruitful to add a fourth pathway to the existing instrumental, identity, and
group-based anger paths. In the context of value-oriented protest the ideology motive added 16 %
to the variance already explained and even in the context of the power-oriented protest ideology
motives added 5 % to the variance already explained. Indeed, people’s ideals and values generate
passionate politics and spur people to participate in political protest.
Integrating the four paths in a single model revealed an unexpected finding regarding the
instrumental path: the influence of instrumental motives on the strength of motivation was
completely mediated by group-based anger. Thus, whereas identity and ideology motives directly
feed into the strength of motivation, instrumental motives need to be translated into anger in
order to motivate people to take to the streets. One might wonder whether this is due to an
integration of the two dual path models or resulting from this specific protest campaign. We will
further elaborate on the role of instrumentality in the general discussion.
4.3.2 The influence of identification processes on protest participation.
Group identification processes are known to influence protest participation directly, our study
refines and enlarges the understanding of identification processes by hypothesizing and testing
indirect effects of group identification processes. We replicate the finding that identity motives
feed directly into the strength of motivation, indicating that identification with others involved
influences the strength of motivation sufficiently to take to the streets; but identity motives also
play a vital role in the indirect path taken to protest participation.
Our hypothesis regarding the mediational role of instrumental and ideology motives, was
confirmed. Mediational analyses revealed that the relation between identity and group-based
anger in the context of power-oriented protest is completely mediated by instrumental motives,
and in the context of value-oriented protest by ideology motives. Thus, identification not only
evokes group-based anger but also shapes protesters’ participation motives. Identification with an
organization staging power-oriented protest makes people angry for instrumental rather than
ideology reasons, whereas identification with an organization staging value-oriented protest
makes people angry for ideology rather than instrumental reasons.
Our hypothesis regarding the moderating effects of identity was also confirmed. The
routes to protest participation of weak identifiers starts of at instrumental and ideological
motives, suggesting that identity motives do not reinforce instrumental and/or ideological
motives or group-based anger. However, contrary to our expectations, identity motives do—even
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103
for weak identifiers—directly feed into the strength of motivation. This is consonant with
findings of Veenstra and Haslam (2000) who showed that in times of threat weak identifiers are
more inclined to participate in collective action.
In the motivational pattern of strong identifiers, on the other hand, identification with a
social movement organization reinforced instrumental, ideological, and group-based anger
motives. Moreover, contrary to our hypothesis, identity does not only influence group-based
anger indirectly via instrumentality and ideology motives, but also directly. Thus, the stronger the
ties of strong identifiers with a social movement organisation the angrier they are, which in turn
reinforces their motivation to participate in political protest (cf Yzerbyt et al., 2003).
The moderation models of identity reveal clearly that weak and strong ties with a social
movement organization make a difference for the motivational patterns that spur people to take
the street. Instrumental, ideological, and group-based anger motives of weak identifiers are
uninfluenced by identification with the social movement organization. The motivational pattern
of weak identifiers seems to stem from a salient personal identity, accordingly, weak identifiers
experience grievances as a threat to their personal identity and they “feel for me”. This suggests
that weak identifiers’ motivational strength to participate in collective action is a by-product of
their desire to protect their own personal interests (Wright et al., 1990). The motivation for weak
identifiers to become involved in the struggle results from individualistic, or more opportunistic
strategies (Ellemers, Spears, & Doosje, 1999).
The emotions and motives for strong identifiers, on the other hand, seem to be influenced
by their—strong—ties to the social movement organization, suggesting that a threat to collective
group interests results in shared grievances and emotions (“I feel for us”). For strong identifiers,
group interests are internalized and adopted as self-interests (Turner et al., 1987). This suggests
that strong identifiers’ motivational strength to take the streets is reinforced by the motivation to
support the group. The motivation for strong identifiers to take part in collective action on behalf
of the group results from more solidarity strategies (Ellemers et al., 1999).
Several protest scholars stress the role of identity in spurring protest participation (Kelly
& Breinlinger, 1996; Reicher, 1984; Simon et al., 1998, Stryker et al., 2000; Stürmer et al.,
2003). Our studies reveal that protest participation is not only stemming from commitment and
solidarity. It is also the values, interests, and emotions held about the social movement
organization, which are more or less incorporated in the individual’s collective identity that spur
protest participation. We see this as further evidence of the central role of identity in protest
participation. We will return to the various effects of identification on protest participation in the
general discussion.
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104
4.3.3 The influence of social movement context on motivational patterns.
Our research design enabled us to compare the motivational patterns of two protests organized by
different social movement organizations. We applied the concept of action orientation proposed
by Turner and Killian (1987). Based on Turner and Killian’s conceptualization, we defined the
trade unions’ demonstration as power-oriented and the Turn the Tide demonstration as valueoriented.
For power-oriented protests, we found two direct paths to protest participation: both
identity and ideology motives are directly translated into strength of motivation. Thus,
identifying with others involved or wanting to express one’s view in itself is sufficient to
motivate people to participate in power-oriented protest. We found two indirect paths as well, one
from identity via instrumentality to group-based anger; this implies that the more people identify
with the union, the more they are spurred by instrumental participation motives, and this in turn
reinforces group-based anger. The other indirect path was from ideology motives via
instrumental motives to group-based anger; this indicates that the stronger someone’s ideology
motives, the more he or she is pushed by instrumental motives, which makes him or her even
angrier. Thus, in power-oriented protest, instrumental motives mediate the relation between both
identity and ideology motives on the one hand, and group-based anger motives on the other.
Whether a protester starts from ideology or identity motives seems to depend on the extent to
which he or she identifies with the union. It turned out that the less protesters identify with others
involved, the more ideology and instrumental participation motives play a role in their motivation
to participate.
Regarding motivation to participate in a value-oriented protest, we found two direct paths
and one indirect. The two shortcuts to participation are the same as in power-oriented protests,
both identity and ideology motives in themselves are sufficient to generate a strong motivation to
participate in protest. The indirect path goes from identity via ideology motives to group-based
anger motives. In other words, people who identify with an organization staging value-oriented
protest are more likely to be spurred by ideology motives; this in turn makes them angrier.
A comparison of the two motivational patterns reveals that the two direct paths to either
power- or value-oriented protests are the same, both identity and ideology motives on their own
are strong enough to create sufficient motivation to take to the street. This suggests that these
motives are strong, yet different, motivators. The motivation of protesters taking the ideology
path to protest stems from integrity maintenance and emotional catharsis (Klandermans, 2003;
2004), whereas an identity path is spurred by identification, solidarity with other group members
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involved and a felt inner obligation to behave as a “good” group member (Simon et al., 1998;
Stürmer et al., 2003). The motivation on the ideology path is about my integrity and my emotions,
whereas the motivation on the identity path is about identification with others, solidarity with
others and a felt inner obligation evoked by others. It appears that the motivation to take the
ideology path stems from oneself, whereas the motivation to take the identity path stems from
others. In describing types of motivations to enlist as AIDS volunteers, Omoto and Snyder (1993)
find the same distinction and they describe these motivations as self-focused and other-focused
motivations. We will return to this in the general discussion.
Whereas the direct paths to both types of protest are the same, the indirect paths differ.
We start with the indirect ideology path. The ideology path in the context of power-oriented
protest is mediated by instrumental motives, whereas instrumental motives are unimportant on
the ideology path to value-oriented protest. Thus, protesters employing an ideology motive in the
value-oriented protest participate because they want to express their view and vent their anger,
whereas protesters employing an ideology motive in power-oriented protest want to solve a
problem as well. Hence, although both power- and value oriented protest events attract people
taking an ideology pathway, the influence of ideology on participation is almost twice as strong
in the value-oriented protest as in the power-oriented protest.
Testing the baseline model in different social movement contexts offered the opportunity
to study why people participate and what makes them angry. Moreover, it helped to show that
identification with organizations staging either power-oriented or value-oriented protest events
makes a difference for protesters’ motives and the reasons why they are angry. In the context of
power-oriented protest, identity motives moderate the influence of instrumental participation
motives on motivation to participate, in contrast to value-oriented protest where identity
moderates the influence of ideology motives on motivation to participate in protest.
Consequently, instrumental rather than ideology motives in power-oriented protest, and ideology
rather than instrumental motives in value-oriented protest, enhance the influence of group-based
anger on motivational strength.
Indeed, it appears fruitful to study the influence of group identification on political
participation in a comparative design as Reicher (2004) indicates, “what we need to explain, then,
is not the inevitable occurrence of any particular form of intergroup relations irrespective of
context but rather the flexibility of behavior [cognitions, motives, and feelings, JvS] across
differing contexts” (p. 925).
In this chapter we have discussed the impact of context by characterizing the two protests
as power-oriented and value-oriented by testing hypotheses derived from this distinct orientation.
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106
In the next chapter we will concentrate on the psychological mechanisms that help to explain
why some individuals end up taking the one route to protest while others take the other. The
mechanisms we proposed in Chapter 1 were regulatory fit and regulatory focus.
We will translate the characterization in terms of action orientation we borrowed from
social movement literature into a characterization in terms of regulatory focus. On the basis of
that characterization we will test our hypotheses regarding regulatory fit and regulatory focus.
107
Chapter 5. Regulatory focus and political protest participation.
In the previous chapter we demonstrated that the motivational pattern of protesters varies if the
action orientation of the protest event varies: in power-oriented protest, the instrumental path was
found, combined with either identity or ideology motives, whereas in value-oriented protest the
ideology path (whether in combination with identity motives or not) prevailed. The question
remains as to why people attend one protest event rather than another. As stated, we conducted
two surveys in two different squares at protests organized by two different movements at exactly
the same time against the same budget cuts proposed by the same government. This Most Similar
Systems Design is interesting from a social psychological point of view, because each cluster of
organizations emphasized differing aspects of the proposed government policies. Indeed, their
interpretation of “what’s going on?”, “who is to be blamed?” and “how we are going to solve
it?”, in other words, their collective action frames, differed. Why would one collective action
frame resonate more than another for someone? In this chapter we will try to answer this question
employing the concept of regulatory fit, that is, the notion that information that is consistent with
an individual’s regulatory focus has more impact than information that is inconsistent (Higgins,
1997; 1998). We will investigate whether a collective action frame constructed in promotion
terms is more persuasive for promotion-focused people, while a collective action frame in
prevention terms is more persuasive for prevention-focused people. Indeed, although their social
and political environment provides an abundance of frames, regulatory fit may be one of the
explanations as to why people adopt certain frames while neglecting others.
Assessment of a regulatory fit between collective action frames of social movement
organizations and individual self-regulation is an important first step in the explanation of
political participation as a function of self-regulatory processes. Yet, this first step does not show
us whether regulatory focus moderates the individual motivational mechanisms that lead to
protest participation. Indeed, we still do not know whether regulatory focus influences what
participation motive will be employed. In the second half of this chapter we will elaborate on this
latter question. First, we elaborate on the regulatory fit between the triad of individual protesters,
organizations and their collective action frames, and then we discuss regulatory focus as the
steering mechanism for individual motivational dynamics explaining protest participation.
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5.1 Regulatory fit: social movement context and regulatory focus.
Why, in the first place, are people attracted to certain social movement organizations rather than
others? Why, in the second place, are social movement organizations in times of intergroup
conflict inclined to emphasize various aspects and interpretations in their diagnosis and
prognosis? And why, finally, are people inclined to participate in one protest event rather than
another? We argue that the attractivity of social movement organizations is not random. In a
similar vein, collective action frames are not randomly defined, nor do protesters appear at
protest events randomly. We will describe the dynamic context of recruitment, persuasive
collective action frames and motivation to participate in protest staged by social movement
organizations as an instance of regulatory fit. For argument’s sake, we will start off with
recruitment and polarization due to intergroup conflict. Yet, our data only allow us to test the
regulatory fit between collective action frames and regulatory focus of individual protesters.
5.1.1 Group attractivity and regulatory focus.
Why are people attracted to one social movement organization rather than another? Indeed, what
shapes people’s choice of one ingroup rather than another? Klandermans (1997) argues that, in a
recruitment context, the same two steps should be taken as with every form of participation:
“people must be targeted first and then motivated” (p. 67).
Recruitment on the part of social movement organizations does not take place in isolation
but by people interacting with other people in informal circles, primary groups and friendship
networks. These informal structures of everyday life play an important role in movement
mobilization. Kinship and friendship networks have been shown to be central to understanding
movement recruitment (Klandermans & Oegema, 1987; Snow, Zurcher, & Ekland-Olson, 1980).
In Indeed, being asked to become a member of a group is the first step, but what accounts for the
motivation to actually become a member? In other words, what makes this group an attractive
group?
The group attractivity of social movement organizations is (at least partly) determined by
what the organizations want to accomplish, in other words, their mission, goal or ideology.
Missions, goals and ideologies may be stated in a more prevention- or a more promotion-oriented
manner. In fact, Shah et al. (2004, p. 444) hypothesize that:
“the needs to attain achievement and security at the individual or collective level may
affect ingroup choice by defining the characteristics one looks for in groups as well as
the characteristics one seeks to avoid. Prevention-oriented individuals, for instance,
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may avoid ‘dangerous’ groups and may seek out ‘safe’ groups that may better
provide security at both the individual and group level. Alternatively, promotionfocused individuals may be attracted to ‘upwardly mobile’ groups that show promise
to grow as a whole, while offering possibilities for personal advancement, and avoid
groups that offer little possibility for growth”
Therefore we hypothesize that prevention-focused individuals are attracted by social movement
organizations with missions, goals and ideologies stated in prevention rather than promotion
terms, and promotion-focused individuals are attracted by social movement organizations with
missions, goals and ideologies stated in promotion rather than prevention terms. Once people are
recruited, the effects of ingroup identification are pervasive and powerful, even more so for
acquired identities (i.e., identities adopted by choice, in contrast to ascribed identities which are
quite difficult to change) because group identification tends to increase in strength when group
membership is voluntary (Huddy, 2003). As social movement identities are typical examples of
acquired identities, we hold that identification processes with social movement organizations are
pervasive and powerful. The findings in classic and recent research indicate that people who
identify with a group (1) perceive themselves to be more similar to each other (Allen & Wilder,
1975; 1979; Mackie, 1986); (2) are more likely to act cooperatively (Back, 1951); (3) feel a
stronger need to agree with group opinion (Deutsch & Gerard, 1955; Mackie, Gastardo-Conaco
& Skelly, 1992; Wilder, 1990); (4) perceive ingroup messages to be of higher quality (Brock,
1965; Mackie, Worth & Asuncion 1990); and (5) conform more in both behaviour and attitude
(French & Raven, 1959; Wilder and Shapiro, 1984) even more strongly in time of intergroup
conflict due to polarization of group attitudes and behaviour (Mackie & Cooper, 1984).
5.1.2 Collective action frames and regulatory focus.
According to Rubin, Pruitt and Kim (1994), escalation of conflict occurs when a group is faced
with aggression, or when one side perceives the other as the cause of loss or unfulfilled
aspirations. As tensions rise and intergroup communication becomes channelled through more
antagonistic lenses, “relevant ingroup norms [attitudes and behaviour, JvS] are likely to become
more extreme so as to be more clearly differentiated from outgroup norms [attitudes and
behaviour, JvS], and the within group polarization will be enhanced” (Brown, 1980, p. 154).
Social action as a reaction to perceived losses or unfulfilled aspirations is the raison
d’etre of social movement organizations. According to Klandermans (1984), social movements
face two separate mobilization challenges: consensus mobilization, persuading people of the
goodness of the cause, and action mobilization, actually bringing people onto the streets. Indeed,
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110
in the struggle for the good cause, within-group polarization of relevant ingroup norms,
attitudes and behaviour may play an even more important role for social movement organizations
by their tendency to try to win bystanders to their side, forcing people to take sides and engage in
mobilization.
Relevant ingroup norms, attitudes and behaviours in terms of prevention and promotion
may be, for example, that promotion-oriented groups are oriented towards advancement and
accomplishment, whereas prevention-oriented groups are oriented toward security and
responsibility. Moreover, promotion-oriented groups are concerned with the presence or absence
of positive outcomes (gains and non-gains), whereas prevention-oriented group are concerned
with the absence or presence of negative outcomes (non-losses and losses). Indeed, the abovestated reasons articulated by Rubin et al. (1994) for escalation of group conflict are a good
example. Escalation of intergroup conflict occurs when one side perceives the other as the cause
of a loss (i.e., prevention-oriented) or of unfulfilled aspirations (i.e., promotion-oriented).
Because relevant ingroup norms, attitudes and behaviours will polarize in times of
intergroup conflict, it seems reasonable to suggest that intergroup conflict intensifies the
prevention characteristics of prevention-oriented social movement organizations and the
promotion characteristics of promotion-oriented social movement organizations.
Participating because of common interests requires a shared interpretation of who should
act, why and how. Movements affect such interpretations by the information they disseminate.
Social movement scholars use the concept of framing (Gamson, Fireman & Rytina, 1982; Snow,
Rochford, Worden & Benford, 1986) to analyze this process of meaning construction. Motivation
to act is grounded in accounts of why we should act—and often takes the form of a story about
who we are, where we have been, where we are going, and why we want to get there. In
Gamson’s (1992, p. 7) words, a collective action frame is “a set of action-oriented beliefs and
meanings that inspire and legitimate social movement activities and campaigns”. According to
Gamson, collective action frames consist of three components: (1) injustice, referring to moral
indignation, a so-called hot cognition laden with emotions; (2) agency, or the consciousness that
it is possible to alter conditions or policies through collective action; and (3) identity, referring to
a “we” in opposition to some “they” who have different interests or values. We assume that
defining a collective action frame is not a random process either. In contrast, we hold that
prevention-oriented social movement organizations are inclined to define their collective action
frame in prevention rather than promotion terms, whereas promotion-oriented social movement
organizations are inclined to define their collective action frame in promotion rather than
prevention terms. As previously mentioned, promotion-oriented frames are oriented towards
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advancement and accomplishment, whereas prevention-oriented frames are oriented toward
security and responsibility (Higgins, 1997). Promotion-oriented frames can also be defined in
terms of the presence or absence of positive outcomes (gains and non-gains), whereas preventionoriented frames are defined in terms of the absence or presence of negative outcomes (non-losses
and losses).
5.1.3 Frame alignment and regulatory focus.
Individual members of a collectivity incorporate a smaller or larger proportion of the
interpretations provided by “their” organizations; but there is an abundance of frames in our
social and political environment, so why would people adopt certain frames while neglecting or
paying less attention to others? Snow et al. (1986) propose frame alignment, a process of making
individual and organizational frame fit. By frame alignment, Snow et al. mean the linkage of
individual and social movement organization interpretive orientations such that: “some set of
individual interests, values and beliefs and social movement organizations’ activities, goals and
ideologies are congruent and complementary” (p. 464). In other words, individuals’ ideas line up
with movement ideas. The concept of resonance is relevant to the issue of the effectiveness or
mobilizing potency of frames, thereby attending to the question of why some framings seem to be
effective or resonate, while others do not (Snow & Benford, 1988). A successful process of frame
alignment results in a fit between the collective action frame of an organization and that of an
individual, and this enhances the likelihood that this individual will participate in a protest event
staged by this organization (Snow et al., 1986). The fit as a result of frame alignment is akin to
the fit concept of regulatory focus theory (Higgins, 1997; 1998), hence a match between
information and an individual’s regulatory state. Therefore, again, we hold that it is not
accidental that people adopt certain collective action frames while neglecting others. We propose
that collective action frames defined in prevention terms are more persuasive for prevention- than
promotion-focused people, whereas collective action frames defined in promotion terms are more
persuasive for promotion- than prevention-focused people.
In summary, we propose a dynamic of mutual influence between individual regulatory
focus and promotion- and prevention-oriented intra- and intergroup processes. People prefer to
make decisions in a manner that fits their individual regulatory focus; we assume that this also
applies to group-related decisions. Indeed, a fit between individual regulatory focus and
regulatory group processes is preferred. People prefer promotion-oriented group processes when
in a promotion-focus, and prevention-oriented group processes when in a prevention-focus. If
group processes are shaped and influenced by regulatory processes, then regulatory processes
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112
should play a role in social movement organizations too. Indeed, processes like recruitment,
group identification, group polarization and definition of collective action frames may well be
explained in terms of regulatory focus.
Our data enable us to assess the fit between the regulatory characteristics of a collective
action frame and the regulatory focus of individual protesters; in other words, a regulatory social
movement organization-participant fit; that is to say, a fit of the regulatory focus of the collective
action frame and the regulatory focus of the individual protester. A promotion-oriented collective
action frame fits a promotion-focused individual protester. This explains why we expect
promotion-focused individuals to participate in promotion-oriented protest events, whereas we
expect the prevention-focused individual to take part in prevention-oriented protest.
5.1.4 Determining regulatory characteristics of the collective action frames.
Due to the combined working of recruitment, network, group identification, polarization and
regulatory fit, protesters end up protesting at one protest event rather than another. As indicated,
our data do not allow us to test the effects of recruitment, networks and polarization, but offer the
possibility to test our ideas about regulatory fit.
Is it indeed possible to characterize campaigns as more or less promotion- or preventionoriented? The general budget cuts of the government were comprehensive, and the two
movements emphasized different aspects of the proposed policies. Their diagnosis did not differ
much; both organizations described the budget cuts as an erosion of the Dutch social security
system. However, for the trade union federations, the most controversial proposed policy changes
were: “the ‘pre-pension’ scheme [early retirement, JvS] and social security” (www.FNV.nl),
whereas Turn the Tide was “against the current harsh rightist climate in The Netherlands and in
particular against the asocial government policies”9.
The prognosis of both organizations seemed to differ. The union prognosis agreed that
changes in the social system were necessary, but in a different manner (D. Terpstra, 2 October,
2004, Amsterdam: “we are able too, to sway public opinion, together with the government. We
too, including the people here at the Museumplein, know that changes are inevitable. Yet, in a
different manner than proposed by the government)10. In other words, the union prognosis is
about preventing social change in the way proposed by the government. We speculate that the
9
Original text: tegen het huidige harde rechtse klimaat in Nederland en in het bijzonder tegen het asociale
kabinetsbeleid ”, retrieved from: www.keerhettij.nl, 1 October, 2004.
10
Original text: “wij kunnen ook, samen met de regering zorgen voor draagvlak. Ook wij, ook die mensen hier op
het Museumplein weten dat er veranderingen noodzakelijk zijn. Maar dan op een andere manier dan het kabinet
voorstelt”, retrieved from: www.nederlandverdientbeter.nl.
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collective action frame of the trade union federations is predominantly framed in prevention
terms and will attract more participants with a prevention-focus.
Turn The Tide, on the other hand, opposes “the harsh policies to the right” and “the neoliberal policies of Balkenende II”. Moreover, they are campaigning for “a more progressive
policy” (www.keerhettij.nl). Turn the Tide opposes the centre-right government, and its
prognosis is a change of government towards a left coalition. We speculate that the collective
action frame of Turn the Tide is predominantly framed in promotion terms and therefore will
attract more participants with a promotion-focus.
To test our speculations, calls for protest participation on the part of the trade union
federations and the Turn the Tide alliance were compared on promotion and prevention
characteristics. We chose calls for demonstration participation to be compared because these are
persuasive communications from the different movements, intended to communicate to the public
what the organization stands for. We asked eight employees (one male and seven females) of the
social science faculty of the Vrije Universiteit Amsterdam (blind to the hypothesis) to read the
following description of prevention and promotion from Shah and Higgins (2001, p. 694):
“Regulatory focus theory distinguishes between two distinct systems of selfregulation—promotion and prevention. A promotion-focus relates to nurturance
needs, and individuals in such a focus state are more concerned with advancement
and accomplishment through the attainment of their hopes and aspirations (i.e.,
“ideals”). A prevention-focus relates to security needs, and people in such a focus
state are more concerned with protection and safety through fulfilling their
responsibilities and requirements (i.e., “oughts”)”.
We checked whether they understood what a prevention- and promotion-focus implied (all eight
indicated they understood it well). Our coders were then requested to read carefully the calls for
demonstration participation (length one page) from the trade union federations and Turn the Tide.
The coders were asked to indicate whether the respective texts had more prevention than
promotion characteristics. Hence, coders could rate both texts as either more promotion or more
prevention characteristic. Six out of eight coders rated the Turn the Tide call for the
demonstration as possessing more promotion characteristics, whereas six out of eight rated the
call for the demonstration from the trade union federations as possessing more prevention
characteristics, thus coders agreed 75% of the time. Cohen’s kappa was .60 indicating that the
reliability between the coders was substantial (Landis & Koch, 1977). This confirmed our
assessment.
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
114
This leads us to assume that the collective action frame of the Turn the Tide alliance
will attract promotion- rather than prevention-focused protesters, whereas the collective action
frame of the union will attract prevention- rather than promotion-focused protesters.
5.1.5 Hypotheses about regulatory fit and participation motives.
In their collective action frames, social movement organizations emphasize different goals,
ideologies and solutions. Indeed, our test confirmed that the trade union federations defined their
collective action frames in more prevention terms and the Turn the Tide alliance in more
promotion terms. We hypothesized that a collective action frame in prevention terms would
resonate more for prevention-focused protesters, and one in promotion terms for promotionfocused protesters.
Taking this a step further, we suggest that regulatory characteristics of collective action
frames will also influence protesters’ participation motives. As the unions’ collective action
frame is defined in prevention terms, we assume that it will attract more prevention-focused
protesters employing “typical” prevention motives, whereas the collective frame of the alliance,
which is defined in promotion terms, will attract promotion-focused protesters employing
“typical” promotion motives.
As the trade union federations emphasize early retirement rights as one of their goals, we
assume that their collective action frame will appeal to prevention-focused protesters who are
motivated to participate in collective action by a threat to their security needs. The aim of the
protest event staged by the union federations is to remove the collective threat to security needs
(i.e., change of the government proposals regarding the budget cuts). This aim may be attainable
through collective action participation. Therefore we hypothesize that instrumental motives are
more important in the context of prevention-oriented protest rather than promotion-oriented
protest.
As ideal goals (aspirations, ideals, wishes) trigger a promotion-focus, we expect ideology
to be an important motive to participate for promotion-focused participants. Because we expect
more promotion-focused people at demonstrations staged by organizations defining their
collective action frame in promotion terms, we expect that ideology motives are more important
in the context of promotion-oriented protest than in the context of prevention-oriented protest.
We hypothesize that both protesters employing instrumental motives and protesters
employing ideology motives are angry, although for different reasons. Therefore, we assume that
for prevention-focused protesters at the union demonstration and promotion-focused protesters at
the Turn the Tide alliance demonstration group-based anger motives are equally important.
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Because oughts (which tend to trigger a prevention-focus) involve duties, obligations
and responsibilities that generally are interpersonal, whereas ideals (which tend to trigger a
promotion-focus) involve aspirations that are often personal (Pham & Higgins, 2005), we
propose that a group norm to participate in collective action (i.e., inner obligation to behave as a
“good” group member, cf. Stürmer et al., 2003) will carry more weight for prevention-focused
people rather than promotion-focused people. We expect that prevention-oriented protest attracts
prevention-focused protesters, therefore we hypothesize that this felt inner obligation, and
accordingly identity motives, play a more important role in the context of prevention-oriented
protest than in the context of promotion-oriented protest. More specifically, in the context of
prevention-oriented protest we hypothesize a mediational role of inner obligation between
prevention-focus and identity motives.
5.2 Measures
As explained in the introduction to this chapter, we are interested, among other things, in the
effect of regulatory fit between regulatory characteristics of collective action frames and the
regulatory focus of individual protesters and participation motives. The predictor variables are:
promotion- and prevention regulatory focus and instrumental, identity, ideology and group-based
anger participation motives. The outcome variable indicates whether someone took part in
promotion- or prevention-oriented protest.
Regulatory Focus. The regulatory focus was measured with the short version of RFQproverb (Stekelenburg & Klandermans, 2003).
Participation motives. To assess instrumental, identity, ideology and group-based anger
motives, the same measures as in Chapter 4 were applied.
Felt inner obligation. “To what extent did this group influence your decision to
participate in this demonstration?” This operationalization of inner obligation served as a proxy
for want of something better. We assume that it is a possible substitute for the conceptualization
of Stürmer et al., 2003, because with a felt inner obligation the group norm rather than an
autonomous individual decision impacts on the motivation to participate. We presume that
individuals who are sensitive to this group norm will indicate that their decision to take part in
the protest event is influenced by the group, whereas protesters who are not sensitive to this
group norm will indicate that their decision is not influenced by the group.
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
116
The outcome variable. This is a categorical variable that indicates that someone took
part in promotion-oriented protest (Turn the Tide alliance) = 0, or prevention-oriented protest
(union) = 1.
5.3 Results
5.3.1 Preliminary analyses
We start with a presentation of the preliminary results differentiated for the two demonstrations
(promotion- and prevention-oriented). Table 5.1 shows correlations, means and standard
deviations for prevention, promotion, instrumental, identity, ideology, group-based anger and
motivation. Higher means indicate more influence of the respective variables.
Table 5.1
Correlations, means and standard deviations for prevention, promotion, instrumental, identity, ideology,
group-based anger and motivation of two types of protest (promotion-oriented above the diagonal in bold;
prevention-oriented under the diagonal).
Variables
1
2
3
4
5
6
7
1. promotion
--
.07
-.01
.10
.11
-.04
.13
2. prevention
.14*
--
.05
.06
.07
.08
.10
3. instrumental
.06
.14*
--
- -.07
.12
.10
.12
4. identity
.09
.15*
.39** --
.26** .16*
5. ideology
.09
-.05
.20**
.07
--
6. group-based anger
.23** .02
.28**
.08
.34** --
7. motivation
.11
.11
.19**
.24** .33** .27** --
1
2
3
4
.28**
.41** .52**
5
.43**
6
7
M promotion-oriented
5.27
4.07a 19.12 a 3.76a 6.43
5.21 a 6.29a
M prevention-oriented
5.01
4.33c 23.45c 4.46c
6.40
5.45d
6.51b
SD promotion-oriented 0.85
0.94
14.85
2.72
0.77
1.55
1.23
SD prevention-oriented
1.12
15.96
2.15
0.74
1.48
0.83
Note.
ab
0.89
* p < .05, ** p < .01
=differ significant at p < .05, ac= differ significant at p < .001, ad =differ at p < .10
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Table 5.1 reveals that promotion is higher for the promotion-oriented (M = 5.27) than for the
prevention-oriented protest (M = 5.01, F = 6.94, p < .001) and prevention is higher for
prevention-oriented protest (M = 4.33) than for promotion-oriented protest (M = 4.07, F = 4.39, p
= .03). Indeed, the prevention-oriented protest attracted more prevention-focused protesters,
whereas the promotion-oriented protest attracted more promotion-focused protesters. Hence,
there seems to be a regulatory fit between individual focus and organizational orientation, but did
the regulatory fit also influence protesters’ participation motives?
We predicted and found that instrumental motives were higher for the unions (M = 23.45)
than for the alliance (M = 19.12, F = 8.71, p < .001), indicating that protest events with a
collective action frame in prevention terms attract prevention-focused protesters who take the
instrumental pathway to protest participation aimed at changing a threat to their (social) security
goals. Moreover, instrumental motives are more strongly related to motivation to participate in
prevention-oriented protest (r = .19, p < .001) than promotion-oriented protest (r = .12, ns),
indicating that instrumental motives influence motivation to participate more strongly in
prevention-oriented protest than in promotion-oriented protest.
We expected that identity motives would be higher in prevention-oriented (M = 4.46) than
promotion-oriented protest events (M = 3.76, F = 24.44, p < .001). This is what we found; it
demonstrates that the identity path plays a significantly more important role in prevention- than
in promotion-oriented protest. However, identity motives are strongly related to motivation to
participate both in promotion-oriented protest (r = .28, p < .001) and in prevention-oriented
protest (r = .24, p < .001).
Ideology motives are important for protesters at both protests. However, ideology motives
are more strongly related to motivation to participate in promotion-oriented protest (r = .52, p <
.001) than in prevention-oriented protest (r = .33, p < .001, Fisher r-to-z transformation: z = 2.43,
p = .01), indicating that ideology motives influence more strongly motivation to participate in
promotion-oriented protest than in prevention-oriented protest, despite being high in both
prevention- and promotion-oriented protest.
Protesters at the prevention-oriented protest are angrier (M = 5.45) than protesters at the
promotion-oriented protest event (M = 5.21, F = 2.78, p = .09). Interestingly, in promotionoriented protest, group-based anger is more strongly correlated to motivation to participate (r =
.43, p < .001) than in prevention-oriented protest (r = .27, p < .001, Fisher r-to-z transformation: z
= 1.96, p = .05), indicating that, despite being less angry than protesters at the preventionoriented protest, protesters at the promotion-oriented protest are more spurred to participate by
their anger than protesters at the prevention-oriented protest—possibly even more so, because a
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
118
comparison of the face-to-face interviews and the surveys (see Chapter 3) revealed that the
union protesters were angrier at home whereas the alliance protesters were angrier during the
demonstration. Thus, even without the mere presence of other protesters sharing their view, the
motivational strength of the alliance protesters is more strongly influenced by anger than that of
the unionists.
Protesters at the prevention-oriented protest are more strongly motivated to participate in
protest (M = 6.51) than protesters at the promotion-oriented protest event (M = 6.29, p = .04).
Collective action frames defined in prevention terms seem to attract prevention-oriented
protesters, and their motivation is related to “typical” prevention motives, such as instrumental (r
= .19, p < .001) and identity motives (r = .24, p < .001). However, contrary to our hypothesis,
ideology motives do play an important role in this prevention-oriented protest too (r = .33, p <
.001). Collective action frames defined in promotion terms attract promotion-focused protesters
and their motivation is related to ideology motives (r = .52, p < .001). Yet, in this promotionoriented protest, protesters are—unexpectedly—spurred by identity motives too (r =.28, p = .01).
5.3.2. Main analyses
A social movement organization-participant fit implies that the odds of participating in one
demonstration rather than the other can be predicted by regulatory focus. The more preventionfocused individuals are, the more likely they are to take part in the prevention-oriented protest
event, and the more promotion-focused they are, the more likely they are to participate in the
promotion-oriented protest. Furthermore, we hypothesized that regulatory characteristics of
collective action frames would also influence protesters’ participation motives. The more people
employ an instrumental and identity motive, the more likely it is that they will take part in
prevention-oriented protest; and the more people employ an ideology motive, the more likely it is
that they will participate in promotion-oriented protest. In order to test these hypotheses, we
regressed the odds that an individual would take part in a promotion-oriented protest event rather
than a prevention-oriented protest event on his or her regulatory focus and participation motives
in a hierarchical logistic regression analysis. See Table 5.2 for an overview.
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119
Table 5.2
Hierarchical logistic regression with the odds of participating in promotion- vs prevention-oriented
protest.
Protest eventa
Predictor
B
SE B
eB
Model 1
Prevention-focus
.34***
.12
1.41
Promotion-focus
-.32***
.12
.72
Prevention-focus
.29**
.12
1.33
Promotion-focus
-.32***
.12
.73
Instrumental motive
.29**
.12
1.34
Identity motive
.34***
.12
1.40
-.28*
.13
.75
.11
.13
1.12
Model 2
Ideology motive
Group-based anger motive
Model 1
Model 2
Constant
.09
.10
df
2
χ2
15.52***
Nagelkerke R2
.06
Hosmer and Lemeshow χ2
18.82*
% correctly classified
63%
Note.
4
35.95***
.13
14.23
63%
B = unstandardized beta coefficient; SE = standard error; eB = exponentiated B= odds ratio11
a
= Scored: promotion-oriented protest = 0, prevention-oriented protest = 1
*p < .05. **p < .01. ***p < .001.
In the first step we entered prevention- and promotion-focus, and in the second step the
instrumental, identity, ideology and group-based anger participation motives were entered. The
analysis revealed that, overall, the differences between the two demonstrations were significant
11
The exponentiated B value indicates the extent to which the probability that someone will take part in preventionoriented protest increases (if the value is above 1) or decreases (if the value is below 1) by the amount of the value
times the original probability.
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
2
(
120
(6; 449) = 35.95, p < .001). The odds of participating in one demonstration rather than the
other can be predicted by regulatory focus: the more prevention-focused people are, the more
likely it is that they will participate in a prevention-oriented protest event (prevention-focus
Wald’s
2
(1; 449) = 8.77, p < .001) and the more promotion-focused people are, the more likely
it is that they will take part in the promotion-oriented protest event (promotion-focus Wald’s
2
(1; 449) = 7.71, p < .001). The odds of participating in the prevention-oriented protest increase by
41% if the strength of prevention-focus increases, while the odds of participating in preventionoriented protest with a stronger promotion-focus decreases by 28%.
Do the regulatory characteristics of collective action frames also influence the protesters’
participation motives? To test this assumption, the motives were entered in the second step. By
entering the motives into the equation, the explained variance increases from .06 to .13, while the
contribution of prevention- and promotion-focus scores to the prediction as to which
demonstration protesters will take part in does not substantially change (prevention-focus Wald’s
2
(1; 449) = 5.82, p = .02 and promotion-focus Wald’s
2
(1; 449) = 7.00, p < .001). This
suggests that the regulatory fit effect remains significant, including when the participation
motives are entered into the equation. The contribution of instrumental, identity and ideology
participation motives to the prediction that protesters would participate in one protest event rather
than the other was significant and in the expected direction. A stronger instrumental motive
increases the odds that someone will take part in prevention-oriented protest (Wald’s
2(
1; 449 =
5.52, p = .02). Likewise, stronger identity motives increase the odds that someone will take part
in prevention-oriented protest (Wald’s
2
(1; 449) = 7.99, p < .001). Ideology motives seem to
have the opposite effect, indicating that a stronger ideology motive decreases the odds that
people will take part in the prevention-oriented protest event (Wald’s
2
(1, 449) = 4.42, p = .04).
As hypothesized, group-based anger motives do not differentiate between participants in protest
events.
This suggests that indeed the promotion-oriented protest attracted promotion-focused
protesters pushed by ideology and group-based anger motives, whereas the prevention-oriented
protest attracted prevention-focused protesters pushed by instrumental, identity and group-based
anger motives.
5.3.3 Does inner obligation mediate between prevention-focus and identity motives?
We assumed, and our findings suggest, that prevention-oriented protest attracted preventionfocused protesters pushed by (among other things) identity motives. This hypothesis is based on
the assumption that prevention-focused protesters are more sensitive to the normative pressures
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121
to participate, in other words, a felt inner obligation to participate. Moreover, we expect that
a felt inner obligation strengthens the correlation between prevention-focus and identity motives.
To test this role of felt inner obligation on prevention-focus and identity, we conducted
mediational analyses for the prevention- and the promotion-oriented protest following Baron and
Kenny’s (1986) three-step procedure.
Table 5.3 gives an overview of the three regressions in the context of prevention-oriented
protest. First, we regressed the mediator (inner obligation) on the predictor (prevention-focus).
The result indicates that the first prerequisite for mediation is met ( = .21, p < .001). Next, we
regressed the outcome variable (identity motives) on the predictor variable (prevention-focus).
The result provides support for the second prerequisite ( = .17, p < .02). Finally, we regressed
the outcome variable (identity motives) on the mediating variable (inner obligation), with the
predictor variable included in the equation. The beta weight for inner obligation was significant,
indicating support for the third prerequisite. Most important, when prevention-focus and inner
obligation were included as predictors of identity motives, inner obligation predicted identity
motives significantly,
from
= .17 to
= .65, t(215) = 12.77, p < .001, whereas prevention-focus was reduced
= .03, t(215) = .60, p = .55; this indicates evidence for full mediation (Baron &
Kenny, 1986).
Table 5.3
Three regressions to test mediation of inner obligation on prevention-focus and identity motives in
prevention-oriented protest: (1) inner obligation on prevention; (2) prevention on identity motives; and,
(3) identity on inner obligation and prevention.
Prevention
Equation 1
Inner obligation
Equation 2
Prevention
Identity
.21***
.17*
Equation 3
Prevention
Inner obligation
10.13***
6.63*
(1; 228)
(1; 227)
.04
.03
*p < .05. **p < .01. ***p < .001.
Model F
df
R2
Note.
Identity
.03
.65***
87.24***
(2; 225)
.44
Inner obligation reduced the effect of prevention-focus on identity motives significantly (Sobel zvalue = 3.12, p < .001, direct: -.03, indirect: .14). Thus, the fact that stronger prevention-focus
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
122
enhances identity motives in prevention-oriented protest can be completely explained by an
inner obligation to behave as a “good” group member. Why do prevention-focused people want
to behave as “good” group members? We hypothesized and found that prevention-focused
people, due to their sensitivity to duties, obligations and responsibilities (Higgins, 1997; 1998)
and endorsement of conformity values (Van-Dijk and Kluger, 2004; see also Chapter 2) would be
sensitive to the norm of participation in social movement organizations. Figure 5.1 visualizes this
mediational analysis.
.17**
Prevention
(.03)
.21**
Inner
obligation
Identity
motives
.66***
(.65***)
Figure 5.1.
Mediational model for inner obligation on prevention-focus and identity motives in prevention-oriented
protest.
Does this medational role of inner obligation also hold for promotion-focus and identity motives?
Again, we followed Baron and Kenny’s (1986) three-step procedure to test this mediational role.
This analysis revealed no mediational effect of inner obligation on the relation between
promotion-focus and identity in the context of prevention-oriented protest (Sobel z-value = 1.16,
p = .25). Thus, in contrast to a prevention-focus, an inner obligation in prevention-oriented
protest does not mediate between promotion-focus and identity motives.
We assumed a mediational role of inner obligation between prevention-focus and identity
motives in prevention- rather than promotion-oriented protest; but what about promotion-oriented
protest, would a similar mediation process be present in that mobilizing context? The same threestep procedure revealed no mediational effect (Sobel z-value = .30, p = .76), indicating that it is
only in the context of prevention-oriented protest that inner obligation mediates between
prevention-focus and identity motives.
The mediation of inner obligation between prevention-focus and identity motives might
be due by a fit between the individual self-regulatory focus and the regulatory orientation of the
collective action frame of the organization. In other words, would a stronger promotion-focus
similarly enhance an inner obligation to participate in the context of promotion-oriented protest?
To answer this question we tested a mediation model with inner obligation as mediator on
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123
promotion-focus and identity motives in the context of promotion-oriented protest. This
mediational analysis revealed no mediational effect (Sobel z-value = 1.13, p = .26), suggesting
that inner obligation does not mediate between promotion-focus and identity motives in the
context of promotion-oriented protest.
5.4 Discussion
In Chapter 4 we operationalized social movement context by employing Turner and Killian’s
(1987) concept of action orientation. In this chapter, others, who were unaware of the research
questions, determined whether a call for demonstration was more prevention-oriented or more
promotion-oriented. The collective action frame of the union was assessed as preventionoriented, whereas the collective action frame of the Turn the Tide alliance was assessed as
promotion-oriented. Our study suggests that frame alignment may generate a regulatory
organization-participant fit; that is, the more an organization emphasizes prevention aspects in its
campaign, the more it attracts prevention-focused protesters; and the more it emphasizes
promotion aspects the more it tends to attract promotion-focused protesters. Moreover, regulatory
fit seems to affect participation motives as well. Prevention-oriented protest tends to attract
prevention-focused protesters displaying “typical” prevention motives, such as identity and
instrumental motives aimed at social security, whereas promotion-oriented protest tends to attract
promotion-focused protesters employing “typical” promotion motives, such as ideology motives.
By identifying the regulatory characteristics of social movement contexts and selfregulatory foci we were able to show that prevention-oriented protesters are sensitive to the
group norm of participation in prevention-oriented collective action. Organizations staging
prevention-oriented protest tend to be more attractive to prevention-focused protesters who
display strong identity motives due to a felt inner obligation to behave as a “good” member of the
social movement organization staging the prevention-oriented protest. Such a norm of
participation is, however, only influential for prevention-focused people in the context of
prevention-oriented protest. Some caution is advised, because our measure of inner obligation is
not ideal.
All this does not yet demonstrate that regulatory focus has a steering function in the
individual motivational mechanisms that lead to protest participation. Indeed, we still do not
know whether self-regulatory processes at the individual level shape participation motives. Three
routes to protest participation have been proposed so far, but there is no elaboration on which
route will prevail for whom, and why. The answer to these kinds of questions presupposes a
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
124
steering mechanism. In addition to our three possible paths to collective action, we conceive
of regulatory focus as a moderating variable that can explain why one path to protest
participation will prevail over another. In the remainder of this chapter we will elaborate on this
matter.
5.5 Does regulatory focus moderate the paths taken to protest participation?
In Chapter 4 we showed that participants in the context of power-oriented protest events are more
inclined to take the instrumental/identity route with an ideological component to protest
participation, whereas participants in value-oriented protest events are inclined to take the
ideology route. In the previous section of this chapter, we showed that prevention-oriented
protest tends to attract prevention-focused protesters applying typical prevention motives,
whereas promotion-oriented protest tends to attract promotion-focused protesters employing
typical promotion motives.
The question remains as to what extent this is a fully mechanical, involuntary process,
that is to say, a matter of a match of characteristics of the environment and characteristics of an
individual, or rather a matter of choice, that is to say, do individuals have a specific psychological
make-up that steers them onto one of the possible routes to collective action rather than another?
If it is the latter, what mechanism could possibly steer an individual onto one path rather than
another? We hold that regulatory focus could be such a steering mechanism. In Chapter 1 we
elaborated on the role of regulatory focus. In this chapter we test some hypotheses derived from
the reasoning developed.
Structural equation modelling will be used to test a general model of protest participation
developed on the basis of these hypotheses. Subsequently, this general model will be adapted to
different social movement contexts. We will employ the distinction in regulatory characteristics
following from the study described in the preceding part of this chapter to differentiate between
movement contexts. Finally, applying multiple-group analysis, we will test whether the models of
the prevention- and promotion-oriented protest differ from each other. In other words, does the
motivational pattern in a prevention-oriented protest event differ substantially from the
motivational pattern in a promotion-oriented protest event?
5.5.1 Regulatory focus and participation motives.
Self-regulation can be seen as an adjustment strategy of the self to a changing social and political
environment. Higgins (1997; 1998) argues that self-regulation can be pursued either with means
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125
that are approach-oriented or with means that are avoidance-oriented. People employ
approach-oriented promotion-focused self-regulation strategies when they approach pleasure, and
avoidance-oriented prevention-focused strategies when avoiding pain. These two modes of selfregulation are the source of fundamentally different goals, needs and values. Given the
prioritization of fundamentally different goals, needs and values, we assumed that regulatory
focus also influenced the reason(s) why people were motivated to participate in political protest.
In statistical terms, we hypothesized that regulatory focus moderated the paths taken to protest
participation.
In Chapter 1 we formulated hypotheses regarding self-regulation and participation
motives. In this section, we will test some of these hypotheses. To do so, we will first extend the
general model of protest participation tested in Chapter 4 by adding regulatory focus, followed by
an adaptation of this extended model to the different mobilizing contexts. The baseline model in
Chapter 4 revealed three entrances: instrumental, identity and ideology motives, but how does
regulatory focus control which path is taken?
We hypothesized that promotion- and prevention-focused protesters with an instrumental
participation motive wanted to solve diverging problems by protest participation. We
hypothesized that prevention-focused people would be motivated to participate in political protest
for instrumental reasons when security needs were threatened and protection and responsibility
goals were obstructed, whereas promotion-focused people would be motivated when nurturance
needs were threatened and growth and advancement goals were obstructed. Because both
demonstrations were so clearly framed around social security issues, we hypothesized that
prevention- rather than promotion-focused protesters would take an instrumental pathway to this
protest.
In the previous section of this chapter we showed that regulatory focus controls group
identification processes. Prevention- rather than promotion-focused people are inclined to employ
identity motives due to a felt inner obligation to behave as a “good” member in preventionoriented protest. Therefore, we propose that a group norm to participate in collective action (i.e.,
employ an identification participation motive) will carry more weight for prevention-focused
than promotion-focused people.
The ideology path to protest participation refers to people’s ideology or values and the
assessment that these ideologies or values have been violated. Prevention- and promotionfocused people prioritize values differently however, and therefore we assume that motivation to
take the ideology path to political protest stems from violation of divergent values: preventionfocused people are motivated to take the ideology pathway to collective action when tradition,
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
126
conformity or security values have been violated, and promotion-focused people when selfdirected and stimulation values have been violated. Given the different value prioritization by
promotion- and prevention-focused people, we assume that progressive political ideology is
appealing to promotion-focused people and conservative political ideology to prevention-focused
people. Turn the Tide emphasized the progressive political ideology behind their aims. Therefore
we hypothesize that promotion- rather than prevention-focused protesters take an ideology
pathway.
5.6 Measures
We employ the same measures as in the previous section of this chapter. We refer therefore to
section 5.2 for further information on measures.
5.7 Results
To test the models that reflect our arguments, we employed the Analysis of Moment Structures
(AMOS) software (Arbuckle, 1997). The models integrate our main ideas about how
motivational patterns differ as a function of the self-regulatory focus of the protester and social
movement context. We will build the model starting with the baseline model proposed in Chapter
4. First, we will extend this baseline model by adding regulatory focus. Thereafter, a multiplegroup analysis will be conducted to test the differences in regulatory focus of protesters and their
participation motives in the context of promotion- and prevention-oriented protest.
5.7.1 SEM: Baseline model of protest participation steered by regulatory focus.
We examined a model that represents our argument. The predictive model integrates our main
hypotheses, predicting that a prevention- rather than a promotion-focus steers an individual onto
the instrumental and identity paths, whereas a promotion- rather than a prevention-focus steers an
individual onto the ideology path. Figure 5.2 displays the hypothesized pathways and the related
betas.
.12**
identity
.20***
.14***
prevention
.10*
promotion
anger
.15***
.13***
.08º
.14***
instrumental
.35***
.31***
.22***
motivational
strength
CHAPTER 5
127
Note. º = p < .10, * = p < .05, * * = p < .01, *** = p < .001
Figure 5.2.
SEM: baseline model accounting for motivational strength steered by regulatory focus.
This hypothesized model fits the data very well (
2
(9; 449) = 8.5, p = .48, CFI = 1.00, NFI = .97,
RMSEA = < .001, and the Squared Multiple Correlation of motivation = .26). Thus, by adding
regulatory focus to the baseline model that tested the relative weight of the four participation
motives (see Chapter 4), the explained variance remains the same. This is actually what we
would expect. After all, regulatory focus is included to explain which motivational pattern will
prevail rather than to increase the variance explained.
Prevention-focus does indeed steer an individual onto an instrumental and identity path,
whereas promotion-focus steers an individual onto an ideology path. Admittedly, the betas are
rather weak, especially for promotion-focus, though (marginally) significant. Furthermore, the
Squared Multiple Correlation of instrumental, identity and ideology motives is .10, indicating
that 10% of the variance in the participation motives is explained by regulatory focus. However,
the observed pattern is in the expected direction. Prevention-focused protesters are inclined to
take the instrumental ( = .10, p = .04) rather than the ideology route ( = .02, p = .60) to protest
participation, whereas promotion-focused people are inclined to take the ideology ( = .08, p =
.07) rather than the instrumental ( = .02, p = .66) route. Moreover, the identity path is more
frequently taken by people with a prevention-focus ( = .12, p = .01) than with a promotion-focus
(( = .07, p = .28). Finally, prevention- and promotion-focus are not directly related to groupbased anger and do not directly influence the strength of the motivation to participate. Regulatory
focus seems indeed to moderate the paths taken to protest participation: the stronger the
prevention-focus, the more protesters are steered onto the instrumental or identity path rather
than an ideology path; and the stronger the promotion-focus, the more protesters are steered onto
an ideology rather than an instrumental or identity path. In the previous part of this chapter we
showed that inner obligation mediates on prevention- rather than promotion-focus and identity.
The structural equation model shows the same results in a single analysis: a direct effect from
prevention-focus to identity and no such effect for promotion-focus. This suggests that
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
128
prevention- rather than promotion-focused protesters are sensitive to the norm of participation
in social movement organizations.
Plausible alternative models. Although the reported path analyses provided strong
support for the hypothesized routes to protest participation, it is possible that other models may
fit the data equally well, or better. Therefore, we tested two possibly competing models. First, we
reasoned that promotion-focus might explain the instrumental path, and prevention-focus the
ideology path. Thus, we reversed the instrumental and ideology routes steered by the two
regulatory foci. This model fitted poorly to the data (
2
(9; 449) = 20.40, p = .02, CFI = .95, NFI
= .92 and RMSEA = .06). The significant chi-square indicates that this hypothesized alternative
model does not adequately explain the observed pattern of data. Moreover, the pathways from
promotion-focus to instrumental ( = .02, p = .66) and from prevention to ideology ( = .02, p =
.60) proved to be unrelated. This suggests that promotion-focused people are much less inclined
to take an instrumental path to protest participation, whereas prevention-focused people are much
less inclined to take an ideology path to protest participation.
Second, we reasoned that prevention- and promotion-focused people were equally likely
to take both routes; put differently, regulatory focus does not distinguish between pathways to
protest events. Although this model showed a good fit (
2
(7; 449) = 7.81, p = .35, CFI = 1.00,
NFI = .97 and RMSEA = .02), the pathways from promotion to instrumentality and from
prevention to ideology remained insignificant ( = .01, p = .87 and
= .01, p = .76, respectively).
Thus, promotion-focused people are indeed more inclined to take the ideology rather than the
instrumental route, whereas prevention-focused people are, in fact, more inclined to take the
instrumental rather than the ideology route to protest participation. This suggests that regulatory
focus indeed controls which path is taken to protest participation.
Adding regulatory focus as the steering mechanism to our theory of protest participation
provides an answer to the question: “Who participates for what reason?” The question remains as
to whether the reasons why people participate are contingent upon the social movement context.
We propose that a prevention-focus steers people onto an instrumental and identity path in the
context of prevention-oriented protest, whereas a promotion-focus steers people onto an ideology
path in the context of promotion-oriented protest. A multiple-group analysis will be conducted to
test this idea.
5.7.2 Multiple-group analysis: regulatory focus and context.
In an attempt to compare the motivational patterns for prevention- and promotion-oriented
protest, we will apply the same multiple-group analyses as in Chapter 4 proposed by Byrne
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129
(2004). The presented and tested baseline model will accordingly be tested for the
prevention- and promotion-oriented protest separately. Following an inductive approach, the
insignificant paths will be fixed to zero. As indicated, we hypothesize that an ideology path is
irrelevant in the explanation of the variance in motivational strength in the context of preventionoriented protest, whereas an instrumental and identity path are of minor importance in the context
of promotion-oriented protest. Hence, we hypothesize that different paths will be insignificant,
contingent on social movement context. Finally, the unconstrained and the constrained models
will be compared. If the constrained model fits the data as well as the unconstrained model, the
constrained model is to be preferred for parsimony reasons.
Baseline model submitted to prevention- and promotion-oriented protest events.
We hypothesized that the motivational patterns for the prevention- and promotion-oriented
protest events would differ from each other. To test this hypothesis, the baseline model (see
Figure 5.2) will be submitted to a test using the two distinct samples. This offers the opportunity
to test whether a prevention-focus steers people onto an instrumental and identity path in the
context of prevention-oriented protest, whereas a promotion-focus steers people onto an ideology
path in the context of promotion-oriented protest.
In Chapter 4 we showed also that group identification shapes what people are angry
about. Therefore, we hold that the mediational role of instrumental and ideology motives between
identity and group-based anger motives will be different for promotion- and prevention-oriented
protest. Put differently, we hypothesize that, in the context of prevention-oriented protest,
instrumental rather than ideology motives mediate between identity and group-based anger
motives, whereas, in the context of promotion-oriented protest events, ideology rather than
instrumental motives mediate between identity and group-based anger. Thus, in preventionoriented protest events, prevention-focused protesters will employ identity motives, which will
strengthen their instrumental motives, which in turn will make them angrier, whereas, in
promotion-oriented protest events, promotion-focused protesters will employ identity motives,
which will strengthen their ideology motives, which in turn will make them angrier. Figure 5.3
provides an overview of the baseline model submitted to the prevention-oriented protest (above)
and the promotion-oriented protest (below).
identity
.12*
.41***
prevention
.09º
.06
promotion
instrumental
.18***
.18***
.20***
.30***
anger
.13*
.20***
motivational
strength
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
130
Note. = p < .10, * = p < .05, *** = p < .001. Dashed lines imply insignificant or negative cross-loadings.
Figure 5.3.
Baseline model submitted to prevention (above) - and promotion-oriented protest (below) separately.
The baseline model adequately fits the data in both samples (prevention-oriented protest:
2
(9;
240) = 15.49, p = .09, CFI = .95, NFI = .90 and RMSEA = .05, and Squared Multiple Correlation
[R2] of motivation = .18; promotion-oriented protest:
2
(9; 209) = 12.67, p = .18, CFI = .97, NFI
= .92 and RMSEA = .04, and Squared Multiple Correlation [R2] of motivation = .33).
The baseline model tested for the separate samples shows different insignificant paths: in
the prevention-oriented protest, the path from identity to ideology failed to reach significance. In
the promotion-oriented protest sample, on the other hand, paths from prevention to instrumental
motives and identity motives, ideology and identity to instrumental motives, and instrumental to
group-based anger motives failed to reach significance. Note that, as hypothesized, motivational
strength to participate in promotion-oriented protest is influenced by the ideology path controlled
by promotion-focus, whereas in the context of prevention-oriented protest an instrumental path
controlled by prevention-focus influences the motivational strength. However, contrary to our
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expectations, promotion-focused protesters are inclined to take the ideology route in
prevention-oriented protest.
Submitting the baseline model to a test for the two contexts reveals diverging
motivational patterns for the two settings. However, of most interest concerning our question
about regulatory focus as moderator contingent on social movement context is the finding that the
motivational patterns of the prevention- and promotion-oriented protest events differ: an ideology
path controlled by promotion prevails in the context of promotion-oriented protest and an
instrumental and identity path controlled by prevention-focus and an ideology controlled by
promotion-focus prevails in the context of promotion-oriented protest.
In Chapter 4 the models of hierarchical regressions and structural equation modelling
revealed that, in the context of power-oriented protest, the ideology route played a major role in
the motivational pattern. This finding was contrary to our expectations, because we expected that
the instrumental route would prevail in the context of prevention-oriented protest. Interestingly,
instrumental motives are part of this ideology path steered by promotion-focus, suggesting that
promotion-focused protesters take the ideology route in prevention-oriented protest not only
because they want to express their view and vent their anger, but also because they want to solve
the problem. This is an intriguing finding to which we will return in the discussion.
Hence, implementing a steering mechanism in our model offers the opportunity to explain
which protesters took the ideology route to prevention-oriented protest. The data suggest that
promotion- rather than prevention-focused people are inclined to take the ideology route to
prevention-oriented protest (promotion-focus to ideology is
ideology is
= .08, p = .10, prevention-focus to
= -.06, p = .31). According to the regulatory fit hypothesis, prevention- rather than
promotion-focused people are attracted to prevention-oriented protest. Why, then, were
promotion-focused people taking part in a prevention-oriented protest? We will reflect on this
question in the discussion.
These structural equation models replicate the findings from the previous part of this
chapter where we hypothesized, and demonstrated by means of mediational analyses, that the
psychological process underlying identification processes depends on social movement context
and individual regulatory processes. In the previous part of this chapter, mediational analyses
revealed that inner obligation mediates between prevention-focus and identity motives, but only
in the context of prevention-oriented protest. The structural equation models for prevention- and
promotion-oriented protest suggest the same. In the context of prevention-oriented protest,
prevention-focus and identity motives are significantly related ( = .12, p = .02), whereas the two
are not significantly related in the context of promotion-oriented protest ( = .07, p = .44).
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
132
Promotion-focus, on the other hand, is not significantly related to identity either in the
context of promotion-oriented protest ( = .09, p = .24) or in the context of prevention-oriented
protest ( = .05, p = .32). This implies that the norm to behave as a “good” group member carries
more weight for prevention- than promotion-focused protesters, but only in prevention-oriented
protest. Thus, both mediational analyses and structural equation modelling reveal that group
identification processes are controlled by regulatory processes at the individual level and at the
level of the social movement context.
It is a paradoxical finding that identity motives have a direct effect on motivational
strength in the context of promotion-oriented protest. We hypothesized and found that
promotion-focused people were inclined to take the ideology route in promotion-oriented protest.
Moreover, we hypothesized and found that promotion-focused people were not inclined to take
the identity path to protest. This suggests that identity motives would not influence motivational
strength in the context of promotion-oriented protest. But they do, although neither promotionnor prevention-focus steers an individual onto the identity path in the context of promotionoriented protest. It seems that promotion-focused people identify with social movement
organizations staging promotion-oriented protest, but that this does not influence their decision to
participate or not.
5.7.3 SEM: modified model of participation in prevention-oriented protest events.
Following an inductive approach, the next step in the multiple-group analysis will be to force the
non-significant paths to zero. The following paths will be forced to zero: in the context of
prevention-oriented protest, the path from identity to ideology motives; and, in the context of the
promotion-oriented protest, the paths from prevention-focus to instrumental motives, preventionfocus to identity motives, identity to instrumental motives, ideology to instrumental motives, and
instrumental to group-based anger motives.
The modified model of the prevention-oriented protest event showed adequate fit (
2
(10;
238) = 16.35, p = .09, CFI = .95, NFI = .90 and RMSEA =. 05, and the Squared Multiple
Correlation [R2] of motivation in this model is .17). Figure 5.4 displays the pathways and their
betas.
identity
.12*
.18***
.41***
prevention
.09º
0
instrumental
.20***
anger
.13**
promotion
.18***
.08º
ideology
.30***
.20***
motivational
strength
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133
Note: º = p < .10, * = p < .05, * * = p < .01, *** = p < .001
Figure 5.4.
Modified model submitted to prevention-oriented protest steered by regulatory focus.
Then, what model fits the data of prevention-oriented protest better, the baseline model or the
modified model whereby the identity/ideology path is fixed to zero? Following Byrne (2004), we
will apply the same method as in Chapter 4 to test the chi-square difference by comparing the
chi-square of the baseline model submitted to prevention-oriented protest with the modified
model. This chi-square difference is
2
(
df. = 1; 240) = .86, p > .50. This chi-square
difference is not significant, indicating that the baseline model and the modified model have
comparable fit to the data. However, for parsimony reasons the modified model is to be preferred.
Thus, a model with an instrumental/identity path steered by prevention-focus and an ideology
path steered by promotion-focus, whereby identity motives are not related to ideology, fits the
data of a prevention-oriented protest better than the baseline model.
Plausible alternative models. We tested two alternative models, namely the “pure”
ideology and the “pure” instrumental pathways to protest participation. For the “pure” ideology
pathway, the paths representing the instrumental pathway were assigned a “0” to the crossloadings, whereas for the “pure” instrumental pathways the paths representing the ideology
pathway were assigned a “0” to the cross-loadings.
Both models showed a poor fit to the data (the “pure” ideology model:
2
(16; 240) =
88.14, p < .001, CFI = .44, NFI = .44 and RMSEA = .14, and the “pure” instrumental model:
2
(14, 238) = 65.48, p < .001, CFI = .60, NFI = .58 and RMSEA =. 13). The significant chi-square
and the other fit indices indicate that these alternative models do not adequately account for the
observed pattern of the data. This suggests that protesters participating in prevention-oriented
protest events are not inclined to take a “pure” ideology or a “pure” instrumental pathway.
5.7.4 SEM: modified model of participation in promotion-oriented protest events.
In order to test whether indeed the ideology pathway predominates over the instrumental pathway
in the context of promotion-oriented protest, we assigned the cross-loadings representing the
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
134
instrumental pathway to “0”. The modified model for promotion-oriented protest fits the data
2
( (14; 209) = 18.92, p = .18, CFI = .97, NFI = .90 and RMSEA =. 04, Squared Multiple
Correlation [R2] of motivation = .34). Moreover, the data reveal that promotion-focused people
are inclined to take the ideology rather than the instrumental path to promotion-oriented protest
events. Figure 5.5 depicts this model for promotion-oriented protest.
identity
.0
.0
prevention
.14*
.0
instrumental
.0
anger
.30*** motivational
strength
promotion
.22*** .0
.42***
.44***
.09º
ideology
Note. = p < .10, * = p < .05, * * = p < .01, *** = p < .001.
Figure 5.5.
Modified model submitted to promotion-oriented protest steered by regulatory focus.
Does the modified model with an ideology route fit the promotion-oriented protest data better
than the baseline model submitted to the promotion-oriented protest? The change in chi-square of
the baseline model submitted to promotion-oriented protest compared with the modified model is
2
( df. =5; 209) = 6.25, p > .30. This chi-square difference is not significant; this indicates
that the baseline model tested in the context of promotion-oriented protest and the modified
model have comparable fit to the data, and for parsimony reasons the modified model is to be
preferred. Thus, a model accounting for an ideology path controlled by promotion-focus fits the
data of a promotion-oriented protest better than a model accounting for both an ideology route
controlled by promotion-focus and identity and instrumental paths controlled by preventionfocus.
Plausible alternative model. Although the path analysis provided support for the
reasoning that promotion-focused protesters take the ideology route to promotion-oriented
protest, it is possible that other models fit the data too, or better. One alternative model we tested
was the idea that prevention-focused protesters would take an instrumental route to protest
2
participation. This model showed a poor fit to the data ( (14; 207) = 99.66, p < .001, CFI = .33,
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135
NFI = .36 and RMSEA = .17). The significant chi-square and the other fit measures indicate
that this alternative model does not adequately explain the observed pattern of data. This suggests
that promotion-focused protesters are not inclined to take the instrumental pathway to promotionoriented protest. Thus, in line with our hypothesis, promotion-focused people are inclined to take
the ideology rather than the instrumental route to promotion-oriented protest events.
In summary, the modified models for the prevention- and promotion-oriented protest
events are substantially different from each other. In the context of promotion-oriented protest,
only the ideology path is taken by promotion-focused people, contrary to prevention-oriented
protest where prevention-focused people take the instrumental/identity route and promotionfocused people the ideology route. Adapting the baseline model of protest participation to
prevention- and promotion-oriented protest yields improvement of the models. More important
for our steering function hypothesis, however, is the finding that a prevention-focus steers an
individual onto the instrumental/identity path, whereas a promotion-focus steers an individual
onto the ideology path. This suggests that regulatory focus configures a frame to interpret the
social and political world, and therefore moderates the paths protesters take to protest
participation.
5.8 Discussion
To our knowledge, this is the first social psychological study of protest participation attempting
to explain which pathway to protest participation will prevail for whom, and why. We proposed
three possible routes to collective action, and regulatory focus as the mechanism that moderates
which route will be taken. Regulatory focus, in our view, helps to explain why one route to
protest participation is more likely than others. Regulatory focus as a steering mechanism offers
the opportunity to answer the question of why one protester is more inclined to take the
instrumental or identity pathway to participation whereas another takes the ideology pathway.
Prevention-focused people appear to be inclined to take the instrumental route when their ought
goals are obstructed, or the identity route when they feel an inner obligation to behave as a
“good” group member. Promotion-focused people, on the other hand, appear to be inclined to
take the ideology route because their values have been violated.
Our findings indicate that motivational patterns differ as a function of social movement
context and suggest explanations why. The collective action frame of Turn the Tide emphasized
the erosion of the social system as diagnosis, and comprised a plea for progressive policies as
prognosis. The demonstration organized by Turn the Tide attracted promotion-focused protesters
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
136
who then took the ideology route to protest. This suggests that promotion-oriented protest
attracts promotion-focused protesters aiming at promoting social change. The collective action
frame of the union was also defined around the erosion of the social system, but emphasized
erosion of early retirement rights as its focal point. The union demonstration attracted both
prevention-focused protesters who took the instrumental and the identity route, and promotionfocused protesters who took the ideology route. This seems to imply that the union attracted
prevention-focused protesters who perceived the proposals around early-retirement rights as an
obstruction of their security goals and promotion-focused protesters who perceived the social
erosion as a violation of their values.
The findings that a prevention-focus steers an individual onto the instrumental path seems
to correspond to the conclusions of van der Veen (1992) who examined the relation between
action goal and action preparedness for unionists. She showed that the action preparedness of
unionists of the Christian Trade Union Federation was stronger when goals touched their
subsistence security (i.e., security goals and needs), and that action preparedness was stronger
when the goal related to already existing rights, in other words, to preventing social change.
Adding regulatory focus as a psychological mechanism helps to understand the
unexpected finding of an ideology route in prevention-oriented protest. The data reveal that
promotion-focused protesters took part in the unions’ prevention-oriented protest through the
ideology route. Why does the unions’ prevention-oriented protest attract promotion-focused
protesters? The study of De Witte (1995) helps us to understand why. In his study on the entrance
motives of unionists, he shows that instrumental motives (expected financial support in the event
of strikes and legal aid in the event of conflicts with the employer) prevail, followed by ideology
(the social meaning and ideology of the unions). Social motives (the influence of the social
surroundings, e.g., becoming a member because of social pressure or expectations of colleagues,
family, etc.) are less important and seem to have declined over the last decennia (van Rij, 1995).
It may be that people with ideology entrance motives (i.e., recruitment and group attractivity with
promotion-focused characteristics) are promotion-focused protesters taking the ideology route.
Of course these are speculations; however, it is important for our finding of the ideology path
steered by promotion-focus that studies on motives for becoming a member of a trade union also
reveal instrumental and ideology routes to trade union membership.
Why does the ideology motivational pattern in prevention-oriented protest encompass an
instrumental motive, whereas it does not in promotion-oriented protest? A tentative answer may
be that the collective action frame of the union emphasized, besides instrumental goals (i.e., early
retirement rights), their political efficacy as an organization. It may be that the instrumental
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motive for promotion-focused protest is influenced by the expectancy rather than the value
of the early retirement rights; this, we assume, is a security goal related to a prevention-focus,
especially as the union stressed its political efficacy much more than Turn the Tide12. Another
explanation, related to political efficacy, is that the demonstration was more successful for the
trade union federations than Turn the Tide, for three reasons. First, the turnout for the trade
unions was enormous, 250,000 as against 50,000 for Turn the Tide; next, soon after the
demonstration the government decided to withdraw the most “painful” cutbacks such as early
retirement which had been emphasized by the trade union; and, third, the media coverage seemed
to focus on the trade union federations, while neglecting Turn the Tide. All these issues together
might empower the union protesters more (Drury & Reicher, 1999; 2005) than the Turn the Tide
protesters. Empowerment might accordingly have influenced expectations. The more protesters
are empowered before, during and after the protest event, the more they expect that the goal of
the action may be reached and the higher their expectancies will be.
12
Indeed, promotion and expectancy are more strongly (although not significantly) related to each other in the
prevention-oriented protest (r = .10, p < .15) than in the promotion-oriented protest (r = -.02, ns, Fisher r-to-z
transformation: z = 1.23, p = .21), while value of the security goal and promotion are not related to each other in
either protest event (both r = .00, ns).
REGULATORY FOCUS AND POLITICAL PROTEST PARTICIPATION
138
As indicated, these are speculations; future research could disentangle the effects of
expectancy and empowerment.
Group identification processes are known to influence protest participation but our study
refines and augments the understanding of identification processes by introducing regulatory
processes. More specifically, by identifying the regulatory characteristics of the campaign and
self-regulatory foci we were able to show that only prevention-oriented protesters are sensitive to
the group norm of participation in prevention-oriented collective action. Indeed, organizations
staging prevention-oriented protest are more attractive to prevention-focused protesters who
employ strong identity motives due to an inner obligation to behave as a good member.
Apparently, this norm to behave as a good group member is for promotion-focused people less
stringent.
If it is not an inner obligation to behave as a “good” group member, then, what is it that
moves promotion-focused people to take to the streets? We have argued that maintaining moral
integrity and emotional coping (i.e., ideology and group-based anger motives) incite an inner
obligation as well. Maintaining moral integrity and emotional coping may incite an inner moral
obligation to oneself, versus the inner social obligation to other group members incited by group
identification. We will return to the distinction between moral and social obligation in the general
discussion.
Then, why would this felt inner obligation only function in prevention-oriented protest?
We suggest that this may be related to the kind of organizations staging the different protest
events, the trade union federations and Turn the Tide. The missions, goals and ideology of the
two organizations are different and might accordingly attract people with different regulatory
characteristics. We assumed that prevention-focused people would identify with “safe” groups
that provide security, rather than “upwardly mobile” groups promising growth. The union may be
a good example of a safe group in its function of pressure group and may accordingly attract
more prevention- than promotion-focused people. Because prevention-focused people are more
sensitive to the norm of participation, we assume that this functions more strongly in the union
protest event than in the Turn the Tide alliance protest event.
The beta weights explaining the relation between the respective regulatory foci and the
proposed routes to protest participation vary between .09 and .12, suggesting that regulatory
focus explains to a certain extent why people are inclined to take one route rather than another,
but also suggesting that that there is room for improvement. Despite the fact that the pattern was
in the expected directions in all the studies, regulatory focus seems to be only one of the
mechanisms that explains, at least in our studies, a little variance in the employed motives (10%),
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but definitely not all. In particular, the relation between promotion-focus and ideology
motives is rather weak (between .08 and .09).
We hope to have shown in this chapter that the integration of regulatory focus theory and
social psychological approaches to protest participation can be fruitful. We demonstrated in two
different ways how regulatory focus theory may improve models that explain protest
participation. First, we showed a regulatory fit between social movement context and individual
protesters. In other words, collective action frames defined in prevention terms appear to attract
prevention- rather than promotion-focused people employing “typical” prevention motives,
whereas collective action frames defined in promotion terms attract promotion- rather than
prevention-focused protesters employing “typical” promotion motives.
Next, we showed that regulatory focus appears to function as a steering mechanism:
prevention-focused people are inclined to take the instrumental/identity rather than the ideology
route, whereas promotion-focused people are more inclined to take the ideology route than the
instrumental route.
The value of our integrative model is that it puts together the existing pathways in one
model, with ideology as an extra pathway, and it provides a steering mechanism that explains
which pathway to collective action will prevail. The research reported in this chapter extends our
understanding of both collective action and regulatory focus. It documents the psychological
importance of goals and self-regulatory processes as mechanisms affecting action taken in
response to perceived goal obstruction and value violation. Importantly, it also demonstrates that
regulatory focus analyses extend to group-level processes (see also Levine et al., 2000;
Sassenberg et al., 2003; Shah et al., 2004). Individual differences in regulatory focus have
implications for people’s motivation to engage in group-related action. The integration of two
motivational mechanisms (regulatory focus and participation motives) in one model has proved
useful in helping to explain who will participate in what social movement context, and why
people are moved to engage in collective action.
140
Chapter 6. General discussion and conclusions.
We started this dissertation with the observation that, so far, social psychologists have explored
three possible motives that lead to participation in political protest: instrumentality, identity and
group-based anger. Although supportive evidence abounds, many issues have been left unexplored
(Klandermans, 2003). The first issue concerned the role of ideology. Another unanswered question
was about the relative weight of the participation motives. Furthermore, Klandermans (2003) made
a case for the study of identity in a more systematic way, and, lastly, he pointed to a set of
unanswered questions concerning the dynamics between the individual protester and mobilization
strategies of movement organizations.
These unexplored issues guided our objectives in this dissertation. Our first objective was
to integrate the three motives into a single model and to extend this theoretical model of political
protest participation by introducing an ideology motive. Our second objective was to account for
the influence of social movement context on the relative weight of the four participation motives.
The third objective was to investigate whether regulatory fit explains why some collective action
frames are more persuasive for an individual than others. Our final objective was to test whether
regulatory focus functions as a steering mechanism that explains why one path to protest
participation will prevail over another. We conducted two studies during two demonstrations to
test our assumptions. In the following paragraphs we report the concluding remarks regarding
these objectives.
6.1 An integrative model accounting for protest participation.
The results of our studies provide considerable support for our integrative model accounting for
the strength of the motives that inspire people to participate in political protest. Our studies
replicated the findings of the dual path models of both Simon and colleagues (Simon et al., 1998;
Stürmer & Simon, 2004; Stürmer et al., 2003) and van Zomeren et al. (2004). Importantly,
though, our integrative model explained more variance than any earlier proposed model.
Moreover, it appeared to be fruitful to extend the model by introducing an ideology motive, as
people’s ideals and values generated passionate politics and explained considerable variance in
their motivational strength to participate in political protest. Even in the more power-oriented
protest staged by the trade union federations, ideological considerations played a major role in
people’s decision to participate in such protest. Finally, our integrative model accounting for both
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the direct and indirect effects of identity fitted the data better and explained more variance
than a model merely accounting for the direct effects.
We argued that it was unlikely that the four paths would function independent of each
other and proposed that identification processes would have an integrating role. We hypothesized
that group identification would influence not only why people participated, but also what they
were angry about. Our results replicated the findings of Yzerbyt et al. (2003) in showing that the
more the group is in them (i.e., the higher the group identification), the more protesters
experience group-based anger. Collective action participation is seen as a way to show who we
are and that we are angry. Interestingly, our study indicates that identification processes also
influence the reasons for which people are angry. Indeed, the more “the group is in me”, the more
group-based grievances or values are incorporated, and the more “I feel for us”.
A strong identification with a social movement organization creates a sense of solidarity
that spurs the motivation to take to the streets. Moreover, if strong identifiers feel that their group
interests are threatened, they become angry and are even more willing to take to the streets. Weak
identifiers, on the other hand, do not participate for reasons of solidarity or commitment but
because of instrumental and/or ideological threats to their personal identity. Accordingly, weak
instrumental and ideological considerations are accompanied by low levels of motivation,
whereas strong instrumental and ideological considerations are accompanied by high levels of
motivation. This seems to be in line with findings of Veenstra and Haslam (2000), who found
that weak identifiers refrained from participation in union activities when reference was made to
conflict alone, but that this effect was attenuated when reference was also made to threat. Weak
identifiers seem to be more opportunistic in aligning with the group only when this serves to
enhance their own personal identity (Ellemers et al., 1999).
This post hoc explanation suggests that strong identifiers participate out of solidarity and
shared grievances, whereas weak identifiers are more opportunistic. They participate because of a
perceived threat to their personal identity, and alignment with the social movement organization
seems to provide security in insecure times. The point of the matter, however, is that it suggests
that future research of protest participation must take the degree of identification into account.
Interestingly, a single model accounting for the combined motives of the two dual path
models revealed that instrumental motives are completely translated into group-based anger. This
seems in line with the findings of Stürmer and Simon (2004) that also show relatively little
impact of the collective motive13. A closer look at their data reveals that participants placed a
high value on the movement’s goals but considered the goals’ realization as not very likely. “This
GENERAL DISCUSSION
142
lack of optimism [about the political efficacy of the social movement, JvS] may, at least
partially, explain why the collective motive was ineffective” (Sturmer & Simon, 2004, p. 91). In
our studies, though, the relatively small impact of instrumentality seems to be due to optimistic
rather than pessimistic accounts of the perceived political efficacy of the protest event.
Identification with a strong, effective, social movement organization, like the trade union
federations with their ability to mobilize 250,000 protesters, enhanced strong feelings of group
efficacy.
Given these findings, one might wonder whether instrumental motives impact at all on
people’s motivation to participate in collective action. Our findings suggest that identification
with an effective and powerful organization, like the trade union federations, facilitates a
transformation of the felt grievances into anger14. Malcolm X was aware of the power of
emotions when he stated15 that “usually when people are sad, they don’t do anything. They just
cry over their condition. But when they get angry, they bring about social change.” Indeed,
feelings of solidarity and unity may give a sense of empowerment, which functions as the social
glue that turns grievances into socially shared emotions like anger (Britt & Heise, 2000). Caution
is advised in interpreting these findings, because these effects may be due to retrospection in the
self-reported surveys. It may be that perceived political efficacy was high due to the fact that
soon after the demonstration the government decided to withdraw the most “painful” cutbacks,
e.g., early retirement rights. Yet, this still does not explain why political efficacy mediates effects
between instrumentality and group-based anger for high rather than low identifiers. Apparently,
identification with organizations staging power-oriented protest not only influences protesters’
motives and the reasons of their anger, but also communicates a sense of power.
Our results illustrate that the logic of collective action involves much more than the
instrumental pursuit of collective goods. In classic studies on social movements, instrumental
movements were seen as movements that aimed at some external goal, whereas participation in
expressive movements, on the other hand, was seen as a goal in itself. The distinction between
instrumental and expressive movements fell into disuse, however, because it was thought that
most movements had both instrumental and expressive aspects and that the emphasis on the two
could change over time. Recently, the instrumental-expressive distinction has received renewed
attention, this time to distinguish between the different motives people may have for participating
in social movements. People may participate in social movements not so much, or not only, for
13
Their operationalization of a collective motive represents our operationalization of instrumentality.
Mediation analyses revealed that for those who identified highly with the union (and not the alliance) political
efficacy mediates between instrumentality and group-based anger (Sobel z-value = 2.14, p = .03).
15
Retrieved from the Internet, 2 April, 2005, http://www.quotationspage.com/quote/1879.html
14
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143
instrumental reasons but (also) to express their views and feelings (see Goodwin, Jasper &
Polletta, 2001 for an overview). Our results are consistent with the view that, in addition to
instrumentality and identification considerations, expressive motives like emotions and ideology
create motivational energy for people to take to the streets. People are angry about some state of
affairs or some government and develop feelings of moral indignation; they want to make that
known and participation is seen as a strategy to solve their (collective) problems. They participate
in a social movement not only to enforce political change, but also to identify with others
involved, to regulate the emotions tied to the situation, and to maintain their moral integrity.
Our results also illustrate that motivation to participate in collective action involves much
more than conquering the free riders’ dilemma built into the instrumental pathway. It is true that
in taking the instrumental route people have to overcome the free riders’ dilemma, but the
remaining motives all generate an inner obligation that helps to overcome this dilemma—even
though the three motives create a sense of inner obligation for different reasons. As mentioned
before, group identification creates an inner obligation to behave as a “good” group member,
ingroup norms are incorporated in the self, and this in turn results in an inner obligation to
behave as a ‘‘good’’ group member. Ideology motives, in their turn, create a sense of moral
obligation for reasons of moral integrity maintenance, whereas group-based anger, finally, creates
a sense of inner obligation stemming from the emotional coping or catharsis function of
collective action participation. The inner obligation attached to ideology and group-based anger
becomes an energizing force that helps to overcome any free riders’ dilemma. The free rider
literature tends to forget about these internal factors that push individuals toward participation. It
tends to focus on the external pull factors, such as goal achievement and selective benefits. In our
future research we want to put more emphasis on the push factors.
6.2 The influence of social movement context on the relative weight of the paths.
Testing our model in different mobilizing contexts offered the opportunity to investigate the
influence of mobilization context on people’s participation motives and the reasons for their
anger. Our results seem to suggest that the campaigns of the different social movement
organizations appeal to distinct individual motives, and reveal different reasons for people’s
anger. As expected, in the context of the value-oriented protest only the ideology route
influenced the motivation to participate, whereas the instrumental and, unexpectedly, the
ideology route prevailed in the context of power-oriented protest. Few social movement scholars
have actually linked the motivational configuration of individual protesters to the mobilization
GENERAL DISCUSSION
144
context (for an exception see Klandermans, 1993), but our results suggest that it may be
rewarding, using a comparative design, to study the influence of movement characteristics, such
as type of action orientation, on the reasons for which people take part in collective action. Had
we aggregated the data of both demonstrations and not taken into account the effects of context,
we would not have discerned the different motivational patterns. Indeed, “without comparative
studies of different campaigns, we would never be able to sort out these individual sources of
variation” (Klandermans, 1993, p. 400).
Moreover, aggregation of the data would not have revealed the interesting, but
unexpected, finding of an ideology path in the context of power-oriented protest. Yet, on further
consideration, the ideology path was not so unexpected in the context of trade unions. Various
studies have found support for both an instrumental and an ideology route to union commitment
and support, including studies examining motives for joining a union (De Witte, 1995), union
commitment (Sverke & Sjöberg, 1997a) and trade union participation (Sverke, 1996). Indeed,
“there is now general support for there being two main routes for union commitment and union
support, the instrumental route and the ideological route” (Blackwood, Lafferty, Duck & Terry,
2003, p. 488). This has (at least) two potential implications for the results of our studies. It may
indicate that, even in the context of power-oriented protest, ideological considerations have their
influence on motivation to participate, or it may suggest that the action-orientation of the trade
union federations was not “purely” power-oriented. The latter observation points to the fact that,
according to Turner and Killian (1987), all three orientations play some role in every
mobilization campaign. Future research might investigate whether the findings about
instrumentality and ideology are related to this specific union social movement context or are a
more general effect due to the combination of the four motives in a single model.
6.3 Regulatory organization-participant fit.
Adding regulatory focus theory to our model enabled us to explain why people participate in one
protest rather than the other. Our studies suggest that frame alignment may generate a regulatory
organization-participant fit, that is, the more an organization emphasizes prevention aspects in its
campaign, the more likely it is to attract prevention-focused protesters employing “typical”
prevention motives, such as instrumental and identity motives; and the more it emphasizes
promotion aspects, the more it tends to attract promotion-focused protesters employing “typical”
promotion motives, such as ideology. The general purpose of this study was to consider how
regulatory fit could influence the persuasiveness of a collective action frame. Our guiding
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assumption was that persuasive messages like collective action frames usually involve some
goal to be attained (e.g., moderation of general budget cuts proposed by the government) and
some means described as the way to attain it (participation in collective action). This suggests
that, when the arguments reflected in a persuasive communication, such as a call for action, fit
the regulatory focus of the message recipient, the recipient should experience regulatory fit. This
fit translates into a stronger persuasiveness of the message and, accordingly, people experiencing
regulatory fit will be more inclined to comply with the call for action than people who do not
experience such a fit. Our findings are consistent with the findings of Cesario, Grant and Higgins
(2004) who show the importance of regulatory fit for persuasiveness of the message and
agreement with its topic. However, the results of the former studies were acquired in a controlled
laboratory setting, where the people read messages and had to indicate the extent to which the
message was persuasive. Our studies suggest that, even in an uncontrolled field setting with an
abundance of persuasive messages, the regulatory fit principle seems to operate.
Our findings suggest that regulatory fit processes play a role in the way people construe
their social and political world, and influence social and political decision making. This is
consonant with findings of Camacho, Higgins and Luger (2003) who found that regulatory fit
processes influence the evaluation of proposed policies. People had to evaluate proposals about a
citywide policy change involving the New York public school system. These proposals were
stated either in eager terms (“The primary reason for supporting this program is because it will
advance children’s education and support more children to succeed”, Camacho et al., p. 507) or
in vigilance terms (“The primary reason for supporting this program is because it will secure
children’s education and prevent more children from failing”, Camacho et al., 2003). Promotionfocused individuals judged the proposals defined in eager terms as more morally right than the
vigilant programme, whereas prevention-focused individuals judged the vigilant programme as
more morally right than the eager programme.
As mentioned previously, our data do not allow us to disentangle the (interrelated)
regulatory effects of group processes such as recruitment, group identification, group polarization
and collective action frames relating to protest participation. However, when an individual
participates in collective political action staged by a social movement organization, this is the
result of a sometimes lengthy process of mobilization. Successful mobilization gradually brings
what Klandermans (2003) calls demand and supply together. If substantial proportions of the
population are aggrieved, and if movement organizations stage collective action to voice those
grievances, a massive protest movement may develop. Our theoretical framework is a first
cautious step in studying the complex relation between demand and supply; this may make it a
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fruitful bridge builder between the micro, meso and macro levels of collective action, but it
also leaves a lot of questions regarding the connection between demand and supply unanswered.
The finding of an organization-participant regulatory fit may have practical implications
for mobilization attempts of organizations. Effective communication in both the stadium of
consensus and of action mobilization is of vital importance to social movement organizations.
Regulatory fit may make messages more appealing—even more so because regulatory focus can
be temporarily induced and this may enhance the resonance of a message.
6.4 Regulatory focus as steering mechanism.
Our last objective was to incorporate a motivational steering mechanism into our theory in order
to explain why people are inclined to take one route rather than another to protest participation.
Indeed, with this last objective we hoped to determine whether regulatory focus controls what
path people will take to protest participation. The basic assumption steering this objective was: if
regulatory focus can be seen as a general worldview and has cognitive, emotional and
behavioural consequences for how individuals respond to the world (Higgins, 1998), it may also
influence a frame to interpret the social and political world, and therefore shape protesters’
participation motives. Our studies seem to suggest that the paths taken to protest are indeed
moderated by individual, idiosyncratic regulatory processes, although the effects are moderate.
Prevention-focused people are inclined to take the instrumental and/or identity route in
prevention-oriented protest, whereas promotion-focused people are inclined to take the ideology
route both in prevention- and promotion-oriented protest. Our findings imply that people’s
specific political motives arise from particular attitudes or values and their general worldview.
Regulatory focus explained some variance in the motives employed (10%), but definitely
not all. Indeed, regulatory focus explained to a certain extent why people are inclined to take one
route rather than another, but there is certainly room for improvement. However, multiple
statistical methods revealed the same results over and again, and the fact that, in all studies, the
pattern was in the expected directions suggests some robustness. This makes us confident that
incorporating regulatory focus as a motivational component in our protest participation theory is
a first step in the right direction. Indeed, as indicated, there is room for improvement, so future
research could investigate other (social) psychological motivational components that could
explain why people take one route rather than another.
Importantly, though, our studies also demonstrate that regulatory focus analyses extend to
group-level processes (see also Levine et al., 2000; Sassenberg et al., 2003; Shah et al., 2004).
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Individual differences in regulatory focus have implications for people’s motivation to
engage in group-related action. Participating in one protest rather than another may be such a
group-related action. As mentioned before, compared to the union protest, the Turn the Tide
protest attracted relatively many non-members (19% and 44%, respectively). New social
movements like the alliance have “informal modes of belonging, including shared concern about
diverse issues and identity politics. People see themselves as belonging simply by ‘turning up’ or
sharing political sympathies with an easy-entrance” (Norris, 2004, p. 10.). These looser
boundaries and informal modes of belonging may be related to the fact that Turn the Tide
attracted relatively more promotion-focused people. Promotion-focused people prioritize selfdetermination and autonomous values; participating in a protest event as a non-member might be
seen as such an autonomous independent act that fits their dominant focus.
From these results, two main issues emerge which, in our opinion, deserve further discussion,
namely, protest participation and identity, and protest participation and self-regulatory strategies.
6.5 Protest participation and identity.
We assigned identification with a social movement organization a central role in our model
explaining protest participation. In doing so, we refined and enlarged the understanding of
identification processes in protest participation. We replicated the finding that identity motives
feed directly into the strength of motivation, indicating that identification with others involved
influences the strength of motivation sufficiently to take to the streets. Importantly, though, our
results suggest that identification played a vital role in the other path taken to protest
participation as well. The more strongly people identified with one of the two movement
organizations, the more group-based grievances or values were incorporated and in turn more
group-based anger was experienced. Identification with the group at stake influences what people
want to accomplish by actually participating in protest activities and therefore creates shared
group-relevant motives. These contextually related differences in the valence of people’s
feelings, thoughts and participation motives are a reminder that collective action involves an
individual thinking and acting in concert with others.
Collective action is contingent on seeing the self as part of a group. Indeed, acting
collectively requires some collective identity or consciousness (Klandermans & De Weerd,
2001). Our findings are important in confirming what one would expect—the level of attachment
people have to social movement organizations influences the attitudes, feelings and behaviour
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relating to this group. The stronger someone’s group identification, the more shared beliefs,
grievances and fate comprised in the group’s collective identity are incorporated in the
individual’s collective identity.
At the heart of every social movement organization is the desire to change society.
Indeed, social movements do their utmost to explain how they interpret a social, political or
economic change (its diagnosis) and what should be done (prognosis) as a reaction to perceived
losses or unfulfilled aspirations. In communicating its prognosis, the social movement
organization will emphasize its own role in achieving the goal. At the psychological level, then, a
social movement organization may provide meaning and it may facilitate individuals to cope with
their social and political environment. Indeed, the results of our studies indicate that, while
identification impacts upon the strength of the motivation to participate in collective action,
identification also influences people’s coping strategies. In the power-oriented protest,
identification with the social movement organization reinforced instrumental motives, whereas,
in the value-oriented protest, identification reinforced ideology motives. In other words,
identification with an organization staging power-oriented protest feeds more into the problemfocused coping route (i.e., instrumental path) to protest participation, whereas identification with
an organization staging value-oriented protest feeds into the emotional coping route.
Identification with an organization that emphasizes its effectiveness and power in the political
arena increases instrumental motives, because this identification enhances group efficacy and
instrumental social support. Identification with an organization that emphasizes the ideology
behind its goals (i.e., value-oriented) increases ideology motives, because this identification helps
people to perceive an illegitimate and unfair situation as a collective disadvantage. Hence,
information about the social support for one’s own opinions may help to define the experience as
collective and shared and the situation as group-based. Accordingly, the function the group fulfils
is different: on the one hand, a shared power function: “together we are strong” and, on the other
hand, a shared reality function: “together we know”.
One would expect people to be angrier at the demonstration (i.e., in the face-to-face
interviews) than at home (i.e., in the questionnaires). However, contrary to what one would
expect, the union protesters are angrier at home, whereas the Turn the Tide protesters are angrier
during the demonstration. This may result from the different functions of social movement
organizations (“together we are strong” and “together we know”) and the effect of the mere
presence (e.g., Zajonc, 1966) of ingroup members on people’s feelings. In the context of the
protest staged by the unions, the “together we are strong” function prevails and, accordingly, the
mere presence of many other ingroup members may give the impression that the goal will be
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reached. The impression that the goal will be reached may enhance feelings of relief and
reduce the anger. In the context of value-oriented protest, however, the “together we know”
function prevails, and people participate because they want to express their view. The mere
presence of ingroup members sharing the same view may increase the anger about an ambiguous
motive such as ideology. “For those in the midst of the collectivity, their entire sensuous universe
(sights, sounds, even smells) confirms their worldview” (Reicher, 2005). The group protesters as
observable realistic presence may function as a confirmation of one’s ideological view and may
enhance anger. This suggests that the mere presence of other ingroup members impacts
differently on emotions experienced, contingent on identification and social movement context.
Yet, these are just ad hoc speculations on an unexpected finding. Future research might study the
effects of the mere presence of ingroup members on motives and emotions as a result of social
movement context and identification.
6.6 Protest participation and self-regulatory strategies.
Mental models of why people engage in protest participation seem to be shaped by the mental
models they have about the social world. Whether one has a mental model that tends towards
avoiding something (i.e., prevention-focused) or a mental model that tends towards attaining
something (i.e., promotion-focused) has profound implications for emotions, thoughts and
behaviours. When one encounters adverse environmental, social, political or economic changes,
an imbalance between what one needs and what one actually encounters as a result of this
adversity can motivate actions directed toward preventing or promoting this change. One possible
action can be participating in (or even organizing) social action.
Besides distinct goals, needs and values, the regulatory foci have distinct motivational
“energy”. Since we interviewed people who were already participating, all our respondents,
obviously, had enough motivational energy to take to the streets. However, to test our model in a
more dynamic research design that would predict who would participate, an elaboration of this
motivational energy might be useful. Promotion-focused people are concerned with the presence
or absence of positive outcomes and their strategic inclination is approach in a state of
eagerness, whereas prevention focused people are concerned with the presence or absence of
negative outcomes and their strategic inclination is avoidance in a state of vigilance (Higgins,
1997; 1998). Recent findings suggest, however, that strategic inclinations may differ as a
function of threat. Stroesnner and colleagues (2005), for instance, theorized that a prevention
focus combined with negative or threat-related information in the environment would change the
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typical information-processing strategies associated with the regulatory state. Maintaining
security when there is a threat in the environment requires an active rather than passive form of
vigilant behaviour.
Pham and Higgins (2005, p. 34) propose that “if the current state is highly undesirable,
prevention-focused individuals will be more likely to pursue ‘riskier’ options that could remove
the undesirable state—thereby, exhibiting greater ‘risk-seeking’ behaviour—than promotionfocused individuals.” This is because prevention-focused individuals would consider it a mistake
to remain in the current state, and feel it necessary to choose the “riskier” option. Note that such
seemingly “risk-seeking” choices under prevention would arise not really because preventionfocused individuals want to take risks, but rather because they see it as a necessity. This suggests
that prevention-focused people will only choose to participate if they see the feasibility of
improvement.
One may, of course, wonder why we chose regulatory focus theory above one of the many
other motivational theories. First, and most important, regulatory focus theory merged gently into
our theory because it could help to explain why people with distinct goals, needs and values take
different routes to protest. Indeed, protest participation is often activated by obstruction of goals
and needs and violation of values.
Moreover, many motivational theories include approach and avoidance as core themes
(aversive and appetitive motive systems, e.g., Carver & White, 1994; Harmon-Jones & Allen,
1997; BIS/BAS (behavioural inhibition system, behavioural approach system, e.g., Gray, 1972;
1994a; approach-avoidance motivation, e.g. Elliot & Thrash, 2002). All these motivational
theories hold in common that an avoidance system is activated by the perception of threat, the
result is inhibition or withdrawal behaviour, whereas when given cues of incentives people
engage in more approach behaviour.
Higgins’ regulatory focus theory is a model of approach and avoidance that echoes the
core themes of approach and avoidance. Yet, regulatory focus theory has more to offer, because
not only does it account for approach and avoidance motivation, but it also helps to explain what
people want to approach and avoid. Moreover, regulatory focus theory appears to be helpful in
explaining a regulatory organization-participant fit. To the best of our knowledge, other
motivational theories do not account for this kind of fit mechanism.
Van Zomeren et al. (2004) assumed coping mechanisms as underlying psychological
constructs explaining why people are willing to participate in protest, whereas we integrated selfregulatory mechanisms. Coping consists of activities undertaken to master, reduce or tolerate
environmental demands perceived as representing potential threat, existing harm or loss (Lazarus
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& Folkman, 1984). Self-regulation is defined as the process through which people control,
direct and correct their own actions as they move toward or away from various goals, [needs or
values, JvS] (Carver, 2001). Although the literatures on coping and self-regulation have
developed largely in isolation, they share a fundamental concern with the relation of personal,
social and situational factors to people’s emotions, thoughts and behaviours as they anticipate or
encounter adversity (Aspinwall, 2004). Our results show that whether one is coping to attain
something or to avoid something has profound implications for the participation motives
employed and the reasons for one’s anger.
A last remark on regulatory strategies relates to goal processing. One might wonder
whether taking one route rather than another to protest participation can be equated with
conscious reasoned action or whether it is a result of an unconscious reflex like a knee jerk
reflex. We assume it would be misleading to consider them as strategies deliberately chosen to
take one route rather than another. Yet, we do not perceive of the process as completely
unconscious either. Talking to protesters during demonstrations and asking them the question:
Why are you participating in this protest? reveals that people can explain why, and that they
show the ability to be reflective on decisions like this.
6.7 Possible shortcomings.
Prior to discussing the implications of our studies for future research, we must recognize the
limitations of the current studies. Perhaps no area in mass political behaviour research is plagued
with such serious methodological difficulties as the study of participation in political protest and
other unconventional activities. A fundamental problem is that, unlike voting for example, protest
participation does not usually occur during fixed periods, and hence researchers typically cannot
plan a well-thought-out study in advance. Moreover, data collection on protest participation is
rarely comprehensive, and scholars have to come up with creative solutions to avoid problems of
reliability and validity. Due to these two challenges, the lion’s share of our shortcomings relates
to methodology.
Our design called for us to look at those people who were actually participating in one of
the two protest events. This implies that we sampled on the dependent variable. Indeed, this
research design does not permit us to state who will participate and who will not. However, it
enables us to draw conclusions on the motivational patterns as a function of the social movement
context. Moreover, our dependent variable—motivational strength—showed enough variability
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to enable us to study the variability of the motivational concepts as a function of variability in
motivational strength.
Despite the comparative design, it remains difficult to arrive at robust conclusions about
the causal link between the concepts included in our integrative model. The comparisons that we
made of social movement context are useful, but field studies do not have the rigour needed for
solid tests of causality. Manipulating one of the concepts, for example identification or regulatory
focus, would offer the opportunity to observe whether the paths taken to protest participation—or
intentions to participate—change as a consequence of the manipulation. It would be worthwhile
trying to replicate our findings in a more controlled laboratory setting.
Another shortcoming, not relating to methodology but rather to operationalization, is
about the operationalization of ideology. In our studies, ideology is operationalized using two
emotion items (“I am protesting because: I am worried about the proposed government policy”,
“I am concerned about the proposed government policy”); two injustice items (“I find the
proposed government policy unfair”, “I find the proposed government policy unjust”); one
accountability item (“I want to take my responsibility”); and one “against my values” item (“The
proposed government policy is against my principles”). Although we are reasonably confident
that we captured the ideology motive with these items, there is room for improvement. Currently
we are working on a measure that more closely represents the conceptualization of ideology (an
event in the social, political or economic environment is against values, people want to express
their view, participation for reasons of moral integrity maintenance, and participation in political
protest functions as an emotional valve).
It is important to acknowledge other limitations of our model. We do not claim that the
proposed model is complete, because we have integrated only some elements of different
approaches. More research is needed to enrich our model. Moreover, despite the fact that we are
reasonably confident in the proposed model because it is consistent with previous formulations
and we were able to rule out a few alternative models, by no means have we ruled out all
plausible alternatives, and researchers are encouraged to consider alternative formulations.
6.8 Protest participation and directions for future research.
6.8.1 From a static to a dynamic model.
One of the most interesting contributions of this dissertation in our view is the integrative model
accounting for motivational strength in protest participation. We asked ourselves in the
introduction to this dissertation: “Why would someone decide to go to Amsterdam and
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participate in a mass demonstration?” Our integrative model helps to provide an answer to
this question. However, many questions still remain unanswered.
Of course, the first, and probably most important, question is the extent to which our
integrative model enables us to predict protest participation. Given the fact that the building
blocks (the dual path models) of our integrative model are used to predict intentions to
participate, it is expected that our integrative model should predict protest participation too.
However, in the above, we have already mentioned that, to test for that, protesters should be
interviewed before and after the event. We suggest taking that one step further and moving from
a static to a more dynamic model in an (Internet) panel data framework. A more dynamic
approach would provide the opportunity to study concepts like identification, participation
motives, empowerment, emotions and political efficacy as a consequence and an antecedent of
collective action. “From an investigational point of view, it is difficult to deal with a variable
that, at the same time, can be a dependent and an independent variable, can develop over time or
change across contexts” (Ellemers et al., 1999, p. 3). Yet, studying protest participation in a more
dynamic way would do more justice to the theoretical and empirical richness of the concepts and
may be crucial to gain better insights into the processes at hand.
6.8.2 Effects of regulatory focus on protest participation.
The studies reported here investigated the extent to which self-regulatory strategies control what
path people take to protest participation. Yet, as mentioned previously, our research setting
allowed us to test some hypotheses of our integrative model, though not all. Our research setting
was the often-investigated politically leftist oriented protest of the Turn the Tide alliance and the
labour movement. The first protest was aimed at typical, progressive liberal values and,
according to our model, would attract promotion-focused people, whereas the latter, aimed at
social security, would attract prevention-focused people. In the case of less common movements
or protest events, however, one might encounter completely different patterns. Take, for example,
the conservative pro-life movement. In this case, our model would predict that pro-choice
policies (abortion rights) might be perceived as a violation of conservative and traditional values
for prevention-focused people; this may evoke motivation to participate in pro-life movements
with an ideology motive. Another example would be a student’s movement staging a protest
event aimed at reducing tuition fees. In terms of regulatory focus, increasing tuition fees might be
seen as an obstruction of psychological growth and development, or achievement needs; as
promotion-focused persons are motivated by achievement needs, we expect them to employ an
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instrumental motive in protests with these kinds of claims16. Testing these propositions would
be an interesting avenue for future research.
In Chapter 5 we proposed a set of assumptions regarding the influence of regulatory
mechanisms on processes like recruitment, group identification, group polarization and the
definition of collective action frames. Our data enabled us to assess the fit between the regulatory
characteristics of a collective action frame and the regulatory focus of individual protesters. This
implies that a set of assumptions relating to the dynamic interplay of regulatory characteristics
between “demand and supply” remains untested. First, we assumed that prevention-focused
individuals are attracted by social movement organizations with missions, goals and ideologies
stated in prevention rather than promotion terms, and that promotion-focused individuals are
attracted by social movement organizations with missions, goals and ideologies stated in
promotion rather than prevention terms. Next, we made assumption about group polarization in
times of intergroup conflict. More specifically, we argued that prevention characteristics of
prevention-oriented social movement organizations would intensify, whereas promotion
characteristics of promotion-oriented social movement organizations would intensify. Since our
results suggest a fit between the regulatory characteristics of calls for action and the regulatory
characteristics of individual protesters, investigating the above-mentioned assumptions regarding
the dynamic interplay of regulatory mechanisms of intra- and intergroup processes and individual
regulatory focus would be worthwhile.
6.8.3 Effects of a variety of emotions on protest participation.
Our results suggest that (nearly) all the routes to protest participation are accompanied by groupbased anger. For those of us who have been part of protest events or watched reports on protest
events in the news media, these findings are hardly surprising. Indeed, it is hard to conceive of
protest detached from emotions. In the current model, we have considered group-based anger as
the relevant action-based emotion fostering collective action, but other emotions may be relevant
in stimulating protest participation. Therefore, not only group-based anger but a variety of groupbased emotions may stimulate protest participation.
Indignation is one of the emotions that might stimulate protest participation, because it
“puts fire in the belly and iron in the soul” (Gamson, 1992, p. 32). Indeed, indignation is anger
about the mistreatment of someone or something (Ekman, 1993); this makes indignation the most
16
Our data may give some indication in that direction. As mentioned earlier, the general budget cuts of the
government were comprehensive, and the two movements emphasized different aspects of the proposed policies,
the alliance emphasized (among other things): “College fees are under fire as well”. An instrumental motive aimed
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political of feelings (Reichenbach, 2000). Therefore, it may be interesting to investigate the
role of indignation in stimulating protest behaviour (cf. Jasper, 1997; 1998; Goodwin et al., 2001;
Kim, 2002).
Critical readers familiar with regulatory focus theory may well ask why we did not take
the various emotions related to the regulatory characteristics into account. And they are right; our
studies do not answer questions concerning the emotional dimensions of the regulatory foci.
There is evidence, however, that obstruction of an ideal goal feels different from the obstruction
of an ought goal. Obstruction of an ideal goal evokes dejection-related emotions, whereas
obstruction of an ought goal produces agitation-related emotions (see for example Higgins, 1998;
Higgins et al., 1997; Higgins & Brockner, 2001). Therefore, it might be worthwhile to study
whether emotions stimulating protest participation differ when protest participation stems from
obstruction of an ought goal as distinct from obstruction of an ideal goal, particularly as Bizman,
Yinon and Krotman (2001) show that the emotional dimensions explained by regulatory focus
theory could be extended from individual-based to group-based emotions.
Moreover, it is possible that whether one could or could not do something about goal
obstructions may make a difference for the emotion experienced. Research shows that emotions
result from the appraisal of the implications of an event for goals of the individual and his or her
ability to cope with the consequences of the event (Scherer & Zentner, 2001). Therefore,
perceived political efficacy may be viewed as one of the possible operationalizations of coping
potential, with strong political efficacy eliciting anger, and weak political efficacy eliciting
sadness (cf. Scherer & Zentner, 2001). Hence, conceptualized in this way, emotions would not
function as a separate route to protest participation, yet would be dependent on the constellation
of the regulatory focus and perceived political efficacy.
6.8.4 Effects of political, economic and cultural contexts on protest participation.
In the studies reported here, a comparison across protest events helped to explain how contextual
variation influenced the relative weight of various paths. However, in classic survey-based
studies on protest participation, political protest was understood as arising from an interaction
between individual characteristics and collective actors, such as movement organizations.
Moreover, this interaction seemed to be shaped by different political and socio-economic
conditions of countries, such as the duration of democracy and economic wealth (Barnes &
Kaase, 1979). Recently, it has been widely acknowledged that the dynamics of participation are
at college fees is more strongly related to promotion-focus than prevention-focus. This suggests that promotionfocused protesters can take the instrumental pathway aimed at changing a threat to their achievement goals.
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created and limited by characteristics of the national contexts in which people are embedded
(see Roggeband, 2002). The influence of national context on protest participation is determined
by the political, socio-economic (Barnes & Kaase, 1979; Roller & Wessels, 1996) and cultural
(Polletta, 1999; Goodwin & Jasper, 1999) characteristics in which people live.
The political, socio-economic and cultural characteristics influence and shape a mental
model about what the social world looks like and what it ideally should look like. Indeed, these
collective mental models may create and limit goals, aims, objectives opportunities (Polletta,
1999) and (group-based) emotions (Goodwin et al., 2001) of both individuals and organizations,
and therefore may shape the reasons why people participate in protest. Yet, different countries
have different collective mental models that impact on the individual and organizational mental
models. The results of our studies seem to suggest that an interaction of organizational
attachment and individual differences influences why people engage in protest participation.
However, in our studies people were living in the same national context. Therefore, it would be
interesting to investigate whether various national contexts, that is, various collective mental
models, impact differently on the relative weight of the paths to protest participation.
In a comparison of various national contexts, several concepts may be relevant. One
might think of differences in social capital, specifically the “connections among individuals,
social networks and the norms of reciprocity and trustworthiness that arise from them” (Putnam,
2000, p. 19). The level of social capital of a country is believed to facilitate political
participation. Likewise, there might be differences in dominant regulatory characteristics of a
country. When a country has a collectivistic mental model, people will tend towards avoiding
something (i.e., they will be prevention-focused), whereas with an individualistic mental model
people will tend towards attaining something (i.e., they will be promotion-focused, Lee, Aaker &
Gardner, 2000). It may be that the regulatory characteristics of a country sensitize a discrepancy
between what people actually encounter and either what people ought to have or what people
ideally want to have. As a result, this discrepancy may motivate actions directed toward
preventing or promoting social change; and, although we can conceive of many other relevant
concepts, we will restrict ourselves to level of modernity as the last concept. Roller & Wessels
(1996) show that increasing levels of modernity are accompanied by increasing levels of protest
participation Some researchers have argued that the general prosperity of advanced industrial
societies has heightened the relative importance of cultural issues for an increasing number of
people who are not preoccupied with economic survival; this, they say, has led to a sizeable shift
in advanced industrialized nations toward postmaterialist values, and these values find
expression within new social movements (Inglehart, 1987). This may indicate that the higher the
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level of modernity, the more people are inclined to take the ideology route, whereas a lower
level of modernity may lead to more instrumental concerns underlying protest participation.
These findings suggest that it would be interesting to investigate these various collective mental
models and their influence on organizational and individual mental models and motivational
dynamics towards protest participation.
Comparative research of the same movement in different national contexts may be a key
venue to investigate the moderating effects of national context. In our research paradigm, our
comparison of the motivational dynamics to participate in the more traditional trade union
federations and the new social movement Turn the Tide was made in the same national context. It
would be interesting to extend this paradigm by a comparison of the same movements, for
example the trade union federations and the anti-globalization movement, in different national
contexts. Such comparisons are important because they may reveal diverging political, economic,
cultural or social psychological dynamics of movement participation.
6.9 Concluding remarks.
Based on previous protest literature, we proposed and tested an integrative model accounting for
protest participation and extended it by introducing regulatory processes controlling which paths
are taken to protest participation. Promotion-focused protesters are inclined to take the ideology
route to both promotion- and prevention-oriented protest, whereas prevention-focused protesters
are inclined to take the instrumental/identity route to prevention-oriented protest. These results
add to our knowledge about protest participation in many ways and at the same time raise new
and interesting questions for future research.
In reaction to irrational and emotional explanations, the dominant academic political
analyses on protest participation have shifted to rationalistic, structural and organizational
explanations. Our research, however, suggests that, by reducing protest participation to rational,
structural and organizational processes, researchers appear to have swung the pendulum too far in
the opposite direction. Contingent on an interaction of individual and organizational
characteristics, protesters participate on the basis of instrumental, solidarity and expressive
considerations. From a rational man point of view, all groupmembers would choose for the
freeriders option. However, reality shows that people time and time again
even if death
follows are prepared to participate in political protest. This seems to suggest, that future protest
studies could improve by integrating the more rational, structural and organizational explanations
with the more irrational and emotional explanations.
GENERAL DISCUSSION
158
159
Samenvatting
In dit proefschrift wordt getracht een antwoord te geven op de vraag waarom mensen meedoen
aan politiek protest. Politiek protest is een ‘normaal’ onderdeel geworden van het politieke
proces in Westerse democratische samenlevingen en bovendien doen steeds ‘normalere’ mensen
mee aan politiek protest (Norris, Walgrave, & van Aelst, 2005). Een groepslid neemt deel aan
politiek protest elke keer als hij of zij zich gedraagt als afgevaardigde van die groep en als de
actie gericht is op het verbeteren van de condities van de groep als geheel (Wright, Taylor &
Moghaddam, 1990).
De laatste twee decennia zijn sociaal psychologen begonnen met het onderzoeken van
individuele participatie in protest. Eerst toonden zij aan dat participatie in protest werd
gecontroleerd door instrumentele overwegingen (Klandermans, 1984), dat is als protest
participatie wordt gezien als een mogelijkheid om een een (collectief) probleem op te lossen
tegen aanvaarbare kosten. Geleidelijk werden meer en meer motieven onderzocht die mensen
stimuleerden deel te nemen aan protest. Het eerste motief dat werd toegevoegd, was identificatie
(Simon et al., 1998), dat wil zeggen, mensen participeren omdat ze zich identificeren met anderen
die zich ook inzetten voor de strijd. Onlangs is daar ‘groeps-gebaseerde woede’ bijgekomen (van
Zomeren et al., 2004), hier is deelname aan protest een uitlaatklep van de emoties die een
bepaalde sociale of politieke misstand oproept. Zowel Simon en collega’s en van Zomeren en
collega’s stellen een dual-path model voor, Simon en collega’s laten de instrumentele en
identiteitsroute zien en van Zomeren en collega’s onderzochten de instrumentele en de groepsgebaseerde woede route.
Het eerste doel van dit proefschrift was het intergreren van deze routes in één model, dus
een instrumentele, identiteits en groeps-gebaseerde woede route naar protest. Wij misten echter
een in onze ogen belangrijk fundamenteel motief tot actie: ideologie. Mensen die de ideologische
route nemen, participeren omdat een stand van zaken tegen hun normen en waarde syteem
indruist. Het tweede doel van dit proefschrift was dan ook het uitbreiden van het theoretisch
model door de toevoeging van een ideologie route. Aldus werd in dit proefschrift een model voor
protest participatie met vier motieven getoetst: instrumentaliteit, identiteit, ideologie en groepsgebaseerde woede.
Zowel Simon en collega’s alswel van Zomeren en collega’s laten zien dat de
instrumentele, identiteits en groep-gebaseerde woede route onafhankelijke paden naar protest zijn
en wij waren in de veronderstelling dat dat ook voor ideologie geldt. Echter, de groepsgebaseerde emotie literatuur stelt dat naarmate de identificatie met een groep toeneemt, de
groeps-gebaseerde emoties sterker zullen zijn (Yzerbijt et al., 2003). Wij hebben dit
SAMENVATTING
160
doorgetrokken door te veronderstellen dat identificatie niet alleen beïnvloedt dat mensen
woedend zijn maar ook waar ze woedend over zijn. Dit impliceert dat de participatie routes niet
onafhankelijk kunnen zijn. Het derde doel van dit proefschrift was dan ook het incorporeren van
zowel directe als indirecte routes in het participatie model. Dit participatiemodel begint dan met
identificatie en loopt, afhankelijk van de mobiliserende context, ofwel via instrumentaliteit ofwel
via ideologie naar groeps-gebaseerde woede. Identificatie heeft dus een prominente plaats in het
model gekregen. Voor de mobiliserende context baseerden wij ons op het concept actie orientatie
van Turner en Killian (1987). Deze auteurs delen protest acties in als (a) power-georiënteerd, (b)
participatie-georiënteerd, en (c) value-georiënteerd. Power-georiënteerd wil zeggen gericht op het
verkrijgen en uitoefenen van invloed, participatie-georiënteerd is gericht op de voordelen van
participatie en value georiënteerd is gericht op de doelen en de ideologie van de beweging.
Identificatie met een power-georienteerde organisatie betekent dat motivatie om te participeren
voortkomt uit woede over instrumentele aspecten en bij een value-georienteerde organisatie uit
woede over ideologische aspecten.
De huidige participatie theorieën van Simon en collega’s en van Zomeren en collega’s
besteden geen aandacht aan welk motief voor wie prevaleert en waarom? Dergelijke vragen
veronderstellen een ‘besturingsmechanisme’. Dit brengt ons bij het vierde doel van dit
proefschrift: wij voegen een besturingsmechanisme aan ons participatie model toe dat kan
uitleggen waarom op een bepaald moment de ene route de voorkeur geniet boven de andere
route. Wij stellen regulatieve focus voor als besturingsmechanisme.
Regulatory focus theory is een motivatietheorie gebaseerd op zelf-regulatie (Higgins,
1997; 1998). Deze zelf-regulatie mechanismen kunnen promotie-focused zijn, bij het nastreven
van behoefte aan koestering, ideale doelen (hoop en wensen), en waarden als self-directed and
autonomie of prevention-focused, bij het nastreven van veiligheidsbehoeften, ‘ought goals’
(verplichtingen en verantwoordelijkheden), en waarden als traditie en conformiteit. Dus, de twee
foci komen voort uit verschillende behoeften, doelen en waarden en verschaffen daardoor
verschillende antwoorden op de vraag “Wat is mijn relatie tot de wereld?” Strauman (1996)
refereert aan deze vraag door regulatieve focus te beschrijven als een worldview—een
geneigdheid om situaties en ervaringen te beschrijven in termen van de twee foci. Regulatieve
focus kan dus gezien worden als een algemeen wereldbeeld en heeft cognitieve, emotionele en
gedragsmatige gevolgen voor hoe mensen reageren op hun omgeving (Higgins, 1998). Wij
stellen dat regulatieve focus beïnvloedt hoe mensen hun sociale en politieke omgeving
interpreteren en daarmee vorm geeft aan de motivationele constelatie van demonstranten.
SAMENVATTING
161
Ons vijfde en laatste doel was te onderzoeken of regulatieve focus beïnvloedt welk
collective action frame voor wie overtuigend is. Met andere woorden, trekken organisaties die
hun protest activiteiten in promotie termen framen meer promotie- dan preventie-focused
demonstranten aan en trekken organisaties die hun protest activiteiten in preventie termen framen
meer preventie- dan promotie-focused demonstranten aan? Dergelijke vragen hebben betrekking
op de dynamiek tussen individuele demonstranten en mobilisatie strategieën van sociale
bewegingen, met andere woorden persoons-omgevingsfit, of in Higgins’ (1997; 1998) woorden,
regulatory fit.
De relatie tussen participatie motieven (instrumentaliteit, identiteit, ideologie en groepsgebaseerde woede), zelf-regulatie en mobiliserende context vormen samen de rode draad door dit
proefschrift. Bestaande instrumenten om chronische regulatieve focus vast te stellen waren niet
geschikt om toe te passen in een veldstudie met ‘gewone’ mensen in tegenstelling tot studenten.
Alle voorhanden zijnde instrumenten vragen de participant te reflecteren op zijn of haar jeugd, dit
is geschikt om aan studenten voor te leggen, echter een vakbondslid van 78 zal op zijn minst
verbaasd zijn dergelijke vragen te moeten beantwoorden. Andere voorhanden zijnde
instrumenten maakten gebruik van computers, dus ook deze konden in ons veldonderzoek niet
gebruikt worden. Dit deed ons doen besluiten om zelf een instrument te ontwerpen wat breed
toepasbaar is. Het werd een instrument gebaseerd op spreekwoorden, met bijvoorbeeld “wie niet
waagt, wie niet wint” als promotie-item en “voorkomen is beter dan genezen” als preventie-item.
In Hoofdstuk 2 van dit proefschrift worden 3 studies beschreven waarin het instrument (RFQproverb) wordt gevalideerd.
In de eerste studie werd gekeken naar de voorspellende waarde door RFQ-proverb te
relateren aan studie motivatie. In een paper-pencil test werd een aantal vragen over studie
motivatie en RFQ-proverb voorgelegd. Wij voorspelden en vonden dat intrinsieke studiemotivatie samenhing met promotie-focus en dat extrinsieke studie-motivatie samenhing met
preventie-focus. Om deze resultaten te repliceren en om RFQ-proverb te relateren aan
constructen die, theoretisch, zouden moeten correleren met de RFQ-proverb subschalen
(promotie en preventie) werd een tweede studie opgezet. Ook werd een bestaande RFQ
meegenomen. Naast dat de resultaten uit Studie 1 werden gerepliceerd, liet deze studie zien dat
de subschalen van RFQ-proverb zinvol correleerden met de subschalen van de andere
instrumenten. De laatste valideringsstudie was een Internetstudie die ons de kans bood om te
kijken naar de toegankelijkheid van het promotie- en preventie-construct. Volgens Fazio (1995)
is de responsetijd een weergave van hoe vaak een construct wordt gebruikt, dus mensen met een
chronische promotiefocus zouden sneller antwoord moeten geven op de promotie- dan de
SAMENVATTING
162
preventiespreekwoorden terwijl mensen met een chronische preventie-focus sneller antwoord
zouden moeten geven op preventie- dan promotiespreekwoorden. Dit was precies wat we vonden.
De 3 studies laten zien dat RFQ-proverb een instrument is met goede voorspellende waarde en
schaalkarakteristieken. Bovendien bleek RFQ-proverb sterk gerelateerd aan de reeds bestaande
RFQ en hing het op de verwachte manier samen met instrumenten als Need for Cognition e.d..
Naar aanleiding van de 3 valideringsstudies concludeerden wij dat RFQ-proverb een valide en
betrouwbaar instrument is. Bovendien is het een discrete meting die toepasbaar is in vele settings
waar regulatieve focus het te onderzoeken concept is. Dit deed ons besluiten om RFQ-proverb
toe te passen in onze studies naar protest participatie.
Op 2 oktober 2004 vonden in Amsterdam tegelijkertijd twee grote demonstraties plaats.
Een demonstratie op het Museumplein was georganiseerd door de vakbeweging en een andere
demonstratie op de Dam was georganiseerd door Keer het Tij (een platvorm van 550 organisaties
met meer dan 500.000 leden verenigd tegen het neo-liberale beleid). Tijdens deze demonstraties
hebben wij data verzameld om ons participatie model te toetsen. Daarnaast bood deze
comparatieve setting een unieke kans om de invloed van mobiliserende context op motivationele
constellatie van individuele demonstranten te onderzoeken.
In onze onderzoeken naar protest participatie hebben wij gekozen voor de protest survey
method van Walgrave en collega’s (van Aelst & Walgrave, 2001). Deze methode kenmerkt zich
door mensen te ondervragen tijdens demonstraties, dus in het heetst van de strijd! Echter,
wetenschappelijk onderzoek kenmerkt zich door controleerbaarheid en repliceerbaarheid, hoe is
het mogelijk betrouwbare en valide data in een kolkende massa mensen te verzamelen? Walgrave
en collega’s hebben twee technieken ontworpen die dit mogelijk maken. De eerste techniek is
ontworpen om (mogelijke) problemen van non-response te ondervangen. Hiertoe werden
allereerst korte face-to-face interviews over een aantal demografische variabelen en de
belangrijkste onafhankelijke variabelen afgenomen waarna post vragenlijsten werden uitgedeeld
die demonstranten thuis in konden vullen en opsturen. Omdat (bijna) niemand een face-to-face
interview weigert biedt vergelijking van de data van de face-to-face interviews met de postvragenlijsten een kijkje in de ‘blackbox’ van non-response. In onze studies waren geen
significante non-response effecten. De tweede techniek is ontwikkeld om (mogelijke) problemen
van representativiteit te ondervangen. Oftewel, iedere demonstrant heeft gelijke kans
geïnterviewd te worden of om een vragenlijst aangeboden te krijgen. Beide demonstraties vonden
plaats op een plein. Deze pleinen werden omsingeld door onderzoekers die vervolgens naar elk
interview of vragenlijst 10 stappen naar het middelpunt van het plein liepen, waar vervolgens
weer iemand werd geinterviewd of een vragenlijst werd uitgedeeld. Op deze wijze werden 2 maal
SAMENVATTING
163
125 face-to-face interviews afgenomen en 2 maal 500 vragenlijsten uitgedeeld. Van deze
1000 post-vragenlijsten werden er 442 teruggestuurd (44 %). Dit is een goede response voor
vragenlijsten zonder herinnering.
In Hoofdstuk 4 werd het participatiemodel en de invloed van mobiliserende context
getoetst (zie Figuur 7.1). Wij veronderstelden dat de demonstratie van de vakbonden meer power
georiënteerd was en die van Keer het Tij meer value-georiënteerd. Een vergelijking van de twee
demonstraties laat zien dat de twee directe routes naar motivatie gelijk zijn: zowel identiteit- als
ideologie motieven hebben een direct effect op de motivatie. Echter, bij het value-georiënteerde
protest van Keer het Tij was de invloed van ideologie motieven op motivatie om te participeren
twee maal zo sterk las bij het power-georiënteerde protest.
Figuur 7.1.
Participatie routes naar politiek protest.
identiteit
instrumentaliteit
woede
motivatie
ideologie
Opvallend was dat instrumentaliteit geen direct effect op motivatie had als groeps-gebaseerde
woede werd toegevoegd. Dit resultaat werpt licht op een belangrijke paradox die decenia lang de
dicussie rondom het waarom van protest participatie heeft beheerst: waarom zou iemand zich
inzetten voor het groepsbelang (lees waarom zou iemand kosten willen maken om de groep als
geheel beter af te laten zijn)? Volgens Olson (1965) zijn ze in eerste instantie geneigd om de
freerider optie te hanteren, immers een rationeel denkend groepslid laat uit kosten/baten
overwegingen participatie over aan een ander. De omzetting van instrumentele motieven in
groeps-gebaseerde woede zou kunnen verklaren waarom participanten met een instrumenteel
motief tóch mee doen. Immers, het reguleren van emoties die een sociale of politieke misstand
oproepen kan je alleen zelf doen doen, op het reguleren van emoties kan geen free ride worden
genomen.
SAMENVATTING
164
Hoewel de directe paden naar protest participatie hetzelfde zijn, verschillen de
indirecte routes. Het belangrijkste verschil zat in de indirecte identiteitsroute, bij het powergeoriënteerde protest werden naarmate men zich sterker identificeerde met de bond de
instrumentele motieven sterker wat zich vertaalde in groeps-gebaseerde woede terwijl sterkere
identificatie met Keer het Tij tot sterkere ideologische motieven leiden wat zich vervolgens weer
vertaalde in groeps-gebaseerde woede.
In Hoofdstuk 4 werd ook gekeken of de motivationele constellatie van zwakke en sterke
identificeerders verschilden. De Structural Equation Modellen (SEM) laten zien dat sterke of
zwakke banden met een sociale beweging invloed hebben op de motivationele constellatie.
Instrumentele, ideologische, en groeps-gebaseerde woede motieven van zwakke identificeerders
worden niet beïnvloed door de organisatie. Het motivationele patroon van zwakke
identificeerders lijkt gerelateerd aan de persoonlijke identiteit, zij ervaren grieven als een
bedreiging van hun persoonlijke identiteit en emoties zijn niet groeps- maar individueel
gebaseerd. Dit lijkt er op te wijzen dat de motivatie om te participeren in collectieve actie
voortkomt uit de behoefte om persoonlijke belangen te beschermen (Wright et al., 1990) en het
gevolg is van meer individualistische en opportunistische strategieën (Ellemers et al., 1999). De
emoties en motieven van sterke identificeerders daarentegen, worden wel beïnvloedt door
desterkebanden met de organisatie, dit suggereert dat een bedreiging van collectieve
groepsbelangen resulteert in gedeelde grieven en emoties. Sterke identificeerders internaliseren
groepsbelangen als eigenbelangen, dus motivatie om te participeren wordt versterkt door de
motivatie om de groep te willen steunen en komt voort uit solidariteitsstrategieën (Ellemers et al.,
1999). Ons onderzoek laat zien dat identificatie naast een direct effect ook een indirect effect
heeft op de motivatie om te participeren in politiek protest. Dit maakt eens te meer de centrale rol
van identificatie in protest gedrag duidelijk.
In Hoofdstuk 5 werd tenslotte regulatieve focus toegevoegd aan ons participatie model.
De eerste vraag die we in de hoofdstuk trachtten te beantwoorden was of een collective action
frame in promotie termen overtuigender is voor promotors dan voor preventors en vice versa.
Hiertoe werden eerst de demonstratie-oproepen van zowel de vakbonden als van Keer het Tij
door 8 mensen gescoord in termen van promotie en preventie karakteristieken. Hieruit kwam naar
voren dat de oproep van de vakbonden als meer preventie werd gezien en de oproep van Keer het
Tij als meer promotie. Uitgaande van regulatieve fit veronderstelden en vonden wij dat er meer
preventors met typisch preventie motieven (instrumentaliteit en identiteit) naar de
vakbondsdemonstratie zouden komen en meer promotors met typisch promotie motieven
(ideologie) naar de Keer het Tij demonstratie.
SAMENVATTING
165
De laatste vraag die we wilden beantwoorden in dit proefschrift was of regulatieve
focus fungeert als ‘besturingsmechanisme’, met andere woorden kan regulatieve focus
voorspellen wie welke route neemt. Hiertoe werd promotie- en preventie-focus als onderliggend
construct aan het participatie model toegevoegd. Dit laat zien dat preventors eerder geneigd zijn
de instrumentele en identiteitsroute te nemen terwijl promotors eerder geneigd zijn de ideologie
route te nemen. Dus regulatieve focus lijkt inderdaad te functioneren als besturingsmechanisme.
Dit betekent dat regulatieve focus (tot op zekere hoogte) kan verklaren wie mee doet aan
collectieve actie en waarom.
De resultaten van de twee protest studies laten de meerwaarde zien van ons participatie
model. De resultaten van de dual-paths modellen van zowel Simon en collega’s (instrumentele en
identiteitsroute) alswel van Zomeren en collega’s (instrumentele en groeps-gebaseerde woede)
werden gerepliceerd. Echter, ons integratief model verklaarde beduidend meer variantie dan enig
ander voorgesteld model. Bovendien bleek het zinvol om het model uit te breiden met een
ideologie route. Ook blijkt dat een participatiemodel waar zowel directe alswel indirecte effecten
van identificatie zijn geïncorporeerd beter bij de data te passen en meer variantie te verklaren dan
een model waar alleen de directe effecten geïncorporeerd zijn. Daarnaast laten de studies zien dat
het zinvol is om regulatieve focus theorie toe te passen bij het verklaren van protest gedrag.
Regulatieve fit laat zien waarom een bepaald collective action frame overtuigender is voor de één
dan de ander terwijl regulatieve focus als besturingsmechanisme laat zien waarom mensen
geneigd zijn een bepaalde route naar protest te nemen.
Als reactie op de meer irrationele en emotionele verklaringen van protest gedrag uit de
eerste helft van de vorige eeuw, verschoven academische analyses van protest gedrag naar meer
rationele, structurele en organisationele verklaringen. Dit proefschrift laat zien dat zij hier in te
ver zijn doorgeslagen. Uit onze resultaten komt naar voren dat afhankelijk van een interactie
tussen individuele en organisationele kenmerken, demonstranten participeren op basis van zowel
instrumentele, solidaire alswel expressieve overwegingen. Vanuit een rationeel mensbeeld
geredeneerd zou ieder groepslid kiezen voor de freeriders optie. Echter, de werkelijkheid laat
zien dat vele mensen keer op keer bereid zijnsoms zelfs tot de dood er op volgtom te
participeren in politiek protest. Dit lijkt te suggereren dat toekomstig onderzoek naar protest
gedrag vooruitgang kan boeken door een integratie van zowel de irrationele en emotionele
verklaringen alswel de meer rationele, structurele en organisationele verklaringen.
166
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The “Kurt Lewin Institute Dissertation Series” started in 1997. Since 2004 the following
dissertations have been published:
2004-1:
2004-2:
2004-3:
2004-4:
2004-5:
2004-6:
2004-7:
2004-8:
2004-9:
2004-10:
2004-11:
2004-12:
2004-13:
2004-14:
2004-15:
2005-1:
2005-2:
2005-3:
2005-4:
2005-5:
2005-6:
2005-7:
2005-8:
2005-9:
2005-10:
2005-11:
2005-12:
2005-13:
2005-14:
2005-15:
Wolfgang Steinel: Misleading in social decision-making: A motivational approach
Edwin van Hooft: Job seeking as planned behavior. In search of group differences
Kirsten Ruys: The influence of self and similarity on immediate affective impressions
of people
Michel Handgraaf: Self-interest and other-oriented motives in social decision making:
An ultimatum bargaining perspective
Sjoerd Goslinga: Betrokkenheid, participatie en ledenverloop in vakbonden
Nynke Frieswijk: Frail, but happy: The importance of self-management ability and
social comparison among elderly persons
Jaap Ham: Bridging attribution and spontaneous inferences: Spontaneous and
intentional components of dispositional and situational inferences
Mirjam Tazelaar: When things go wrong: The influence of noise on interactions
Marjolein de Best-Waldhober: Coördinatie in interdependente situaties: Over de
afweging van directe uitkomsten versus uitkomsten op lange termijn
Hinke Groothof: When others are doing better or worse: Responses from the heart
and the head
Laetitia Mulder: Throwing light on the dark side of sanctions. Sanctioning systems in
social dilemmas re-examined
Annebel de Hoogh: Personality and charismatic leadership: A matter of context
Brigitte ten Brink: Psychological contract: A useful concept?
Gerben van Kleef: Emotion in social conflict. The interpersonal effects of emotions in
negotiations
Tom Frijns: Keeping secrets: Quantity, quality and consequences
Elsbeth Steenland: Stereotype Change: Effects of disconfirming information
Annet de Lange: What about causality? Examining longitudinal relations between
work characteristics and mental health
Reint Jan Renes: Sustained volunteerism: Justification, motivation and management
Aloyse Augusta Dinsbach: Socialization in the workplace: A focus on migrant groups
Susanne Peters: The social psychology of being better off than others
Winny Bakker: Emigration and well-being: The role of personality and cultural
identity in acculturation
Ruud Zaalberg: The expression of emotion in social situations. The mediating roles of
display rules and social motives
Catharine Evers: Sex differences in anger expressions. The shaping role of social
appraisals
Ed Sleebos: The Consequences of Perceived Intra-group Respect: The Effects of
Differential Intra-group Respect on Behavior and Cognition
Jeroen Stouten: Virtue Summons the Fury: Coordination Rules and Fairness in Social
Dilemmas
Irene de Pater: Doing Things Right or Doing the Right Thing: A New Perspective on
the Gender Gap in Career Success
Rob Nelissen: Guided by Reason, Struck by Emotion: Integrating Motivational &
Expectancy - Value Accounts of Behavior
Emely de Vet: Testing the Transtheoretical Model: Validity and Applicability for
Fruit Intake
Floor Rink: Diversity and Small Group Decision Making: Towards a social identity
framework for studying the effects of task-related differences on dyads and groups
Sven Zebel: Negative Associations: The Role of Identification in Group-Based Guilt
176
2005-16: Eric Rietzschel: From quantity to quality: Cognitive, motivational and social
aspects of creative idea generation and selection
2006-1: Maria Dijkstra: Workplace Conflict and Individual Well-Being
2006-2: Ruud Custers: On the underlying mechanisms of nonconscious goal pursuit
2006-3: Ellen Dreezens: The missing link: the relationship between values and attitudes
2006-4: Jacquelien van Stekelenburg: Promoting or preventing social change. Instrumentality,
identity, ideology and groupbased anger as motives of protest participation