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Pathways to hostile collective action: The roles of general attitudes
toward the advantaged group and situational anger
Jie Zhou and Erping Wang
Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences,
Beijing, China
Abstract: Collective action is a group behavior that aims to improve the status, power, or influence of an entire group. The present study
focused on hostile collective action performed for releasing negative emotions, and explored a pathway including the roles of general
attitudes toward the advantaged group and situational group-based anger in predicting the disadvantaged groups’ hostile collective action.
Group-level data were collected via a laboratory experiment. The results obtained using multiple regression analysis suggested that general
attitudes toward the advantaged group formed before the trigger event predicted hostile collective action indirectly through the mediating
effects of situational group-based anger and collective action tendencies, which were both produced after that trigger event. In addition,
situational group-based anger predicted hostile collective action fully through collective action tendencies. These pathways provided a
continuous process of hostile collective action in which general attitudes toward the advantaged group that were formed before the trigger
events would influence situational group-based anger when the trigger events occurred, and then affected hostile collective action for
responding to these events. Thus, hostile collective action could be predicted before the trigger events by monitoring the disadvantaged
groups’ attitudes toward the advantaged group. Moreover, reducing destructive collective action by improving intergroup attitudes through
some effective interventions was discussed in this study.
Keywords: attitudes toward the advantaged group; collective action; collective action tendencies; group-based anger
Correspondence: Professor Erping Wang, Key Laboratory of Behavioral Science, Institute of Psychology, Chinese Academy of Sciences,
4A Datun Road, Chaoyang District, Beijing, China, 100101. Email: [email protected]
Received 29 October 2011. Accepted 8 March 2012.
When faced with a trigger event (e.g., increasing tuition fee,
Tausch et al., 2011; a discrimination event, Stürmer &
Simon, 2004) that is inequitable and will possibly cause
some group behaviors, disadvantaged groups might take col-
lective action, such as protesting, petitioning, striking, dem-
onstrating, and retaliating, which aims to improve the status,
power, or influence of an entire group (Walker & Mann,
1987; Wright, Taylor, & Moghaddam, 1990). According to
the group members’ motivation to participate, collective
action has conceptually been differentiated into hostile
action performed as an outlet for negative emotions and
instrumental action employed in achieving collective goals
(Stürmer & Simon, 2009). Due to the important role of
collective action in creating social change, many studies in
social movement research have focused on understanding its
predictors (Mackie, Devos, & Smith, 2000). The social psy-
chological processes by which these predictors determine
collective action have also become key issues (Klandermans,
1997).
Among the large and heterogeneous body of literature on
these issues, much previous research has highlighted two
pathways of group-based anger (Iyer, Schmader, & Lickel,
2007; Leach, Iyer, & Pedersen, 2007; Levine, 2010; Miller,
2006; Smith, Cronin, & Kessler, 2008) and group efficacy
(Doodje, Spears, & Ellemers, 2002; Hornsey et al., 2006;Van
Zomeren, Leach, & Spears, 2010; Van Zomeren, Postmes, &
Spears, 2008) to collective action. Specifically, the pathway
through group-based anger reflected the emotion-focused
coping style, whereas the pathway through group efficacy
reflected the problem-focused coping style (Lazarus, 2001).
PsyCh Journal •• (2012): ••–••DOI: 10.1002/pchj.3
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© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
Furthermore, procedural fairness, perceived group support,
and appraisal of legitimacy have been shown to influence
collective action through this dual pathway model (Leonard,
Moons, Mackie, & Smith, 2011; Mackie et al., 2000; Van
Zomeren, Spears, Fischer, & Leach, 2004).
Despite these pathways through various predictors, it is
still difficult to control collective action because most pre-
dictors that have been found from the previous research were
produced in a certain situation (i.e., a trigger event) so that
we cannot monitor and change these predictors before the
trigger event to increase or reduce the possibility of collec-
tive action. Particularly for hostile collective action, it is
indeed difficult to intervene after the trigger event because
this type of collective action seems impulsive and always
breaks out as soon as the trigger event happens. Thus,
apart from the extensively researched situational variables
(e.g., group-based anger, group efficacy), the studies about
the predictors of collective action should also include
some variables formed before the trigger events (e.g., out-
group attitudes, group identification) to facilitate the long-
term forecast of and interventions on collective action (Van
Stekelenburg, Klandermans, & Van Dijk, 2009).
From this perspective, the present study focused on hostile
collective action in which disadvantaged groups retaliated
and punished an advantaged group to release their situational
anger, and tried to explain hostile collective action as arising
from group-based anger (i.e., situational variable) and
general attitudes towards the advantaged group (i.e., vari-
ables formed before the trigger events).
Only the emotion-focused pathway of group-based anger
was examined in this study because Stürmer and Simon
(2009) suggested that the emotion-focused pathway was the
driving force in predicting hostile collective action; never-
theless, the problem-focused pathway of group efficacy
played an important role in the instrumental collective
action. According to the previous studies, group-based anger
is characterized by an agitated emotional experience inte-
grated with group identification, which should energize
group members’ motivation to fight back if treated unfairly
(see Leach, Iyer, & Pedersen, 2006). Moreover, it is distinct
from individual anger because group-based anger shared
socially within a group depends on the person’s level of
group identification and contributes to regulating intragroup
and intergroup behaviors (Smith, Seger, & Mackie, 2007).
Otherwise, general attitudes toward the advantaged group
were selected because many meta-analyses have shown that
general attitudes defined as global evaluative judgments
about a given object (Crites, Fabrigar, & Petty, 1994) were
very important predictors of specific behaviors (Duckitt,
1992; Kim & Hunter, 1993; Kraus, 1995). Regarding collec-
tive action, Kelly and Kelly (1994) found that general atti-
tudes toward the advantaged group were significantly
associated with the disadvantaged groups’ willingness to
participate in collective action. Moreover, Wagner, Christ,
and Pettigrew (2008) suggested that general attitudes toward
the advantaged group should be studied together with the
situational emotions of anger in order to predict collective
action well. In addition, general attitudes toward the advan-
taged group can be effectively improved before the trigger
events (Huskinson & Haddock, 2004; Zanna & Rempel,
1988) so as to influence any collective action that might
occur after these events.
The current study potentially extends previous work in
three main ways. First, whereas earlier research has explored
the situational pathways to collective action (Drury &
Reicher, 2005; Hercus, 1999; Rydell et al., 2008; Stürmer &
Simon, 2004), this study added general attitudes toward the
advantaged group into the situational pathway of group-
based anger to hostile collective action, and provided a novel
investigation of the pathway that general attitudes toward the
advantaged group formed before the trigger events influ-
enced specific hostile collective action through emotions of
anger produced after these events.
Second, the present study investigated the effects on
hostile collective action rather than solely on collective
action tendencies (Struch & Schwartz, 1989; Van Zomeren,
Spears, & Leach, 2008), because although behavioral inten-
tions are the proximal determinants of behaviors (Ajzen &
Fishbein, 1980; Albarracin, Johnson, Fishbein, & Mueller-
leile, 2001), they are after all different from actual behaviors
(Sparks, Conner, James, Shepherd, & Povey, 2001). Using
behavioral intentions as proxies for behaviors might overes-
timate the size of any obtained effects (Van Zomeren,
Postmes, & Spears, 2008). Thereby, this study, in which
behavioral intentions were distinguished from behaviors,
could examine the indirect effects of general attitudes toward
the advantaged group and of situational group-based anger
on hostile collective action, both of which were mediated by
collective action tendencies.
Third, this research collected all data from groups rather
than from individual participants. McCauley (1972) and
Meyers and Lamm (1976) suggested that group attitudes,
emotions, and behaviors, which would be influenced by
in-group interactions (e.g., group discussions) are quite
2 Pathways to hostile collective action
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
different from those of individuals. Saguy, Dovidio, and
Pratto (2008) also indicated that future research should be
extended to the group level. Moreover, Zhou (2009) found
that the attitudes collected from groups predicted collective
action better than those attained from individuals. Thus, the
present work offered the participant groups an opportunity to
interact with the advantaged group so that they could form
their attitudes, experience the emotions of anger, and dem-
onstrate hostile collective action.
In sum, the primary goal of the current study was to
explore the pathways that could predict disadvantaged
groups’ hostile collective action, including the roles of
general attitudes toward the advantaged group, situational
group-based anger, and hostile collective action tendencies.
This work would contribute to long efforts to predict collec-
tive action more accurately (Fabrigar, Petty, Smith, & Crites,
2006) and could afford vital information for practitioners
concerned with reducing hostile collective action through
the improvements of outgroup attitudes before the negative
trigger events (Huskinson & Haddock, 2004; Zanna &
Rempel, 1988).
To test the pathways to hostile collective action through
general attitudes toward the advantaged group, situational
group-based anger, and hostile collective action tendencies,
we proposed the following three hypotheses (see Figure 1).
First, building on Kelly and Kelly’s (1994) study, which
indicated a negative relationship between general attitudes
toward the advantaged group and collective action, and the
previous research related to planned behavior theory (PBT;
Ajzen, 1991), which suggested attitudes influenced behav-
iors fully through behavioral intentions (Ajzen, 2002; Armit-
age & Conner, 2001; Davis, Ajzen, Saunders, & Williams,
2002; Skogstad, Deane, & Spicer, 2006), we expected that
hostile collective action tendencies should fully mediate the
negative relationship between general attitudes toward the
advantaged group and hostile collective action.
Hypothesis 1: General attitudes toward the advantaged
group will have a negative indirect relationship with
hostile collective action, as fully mediated by collective
action tendencies.
Second, past work has emphasized the central importance of
anger as a positive predictor of collective action tendencies
(Iyer et al., 2007; Leach et al., 2007; Levine, 2010; Smith
et al., 2008) and actual hostile collective action (Yang,
2000). Furthermore, Van Zomeren, Postmes, and Spears
(2011) found that anger affected actual collective action
fully through collective action tendencies, which was in line
with the attitude-behavior link. Thus, we expected that
hostile collective action tendencies should fully mediate the
positive relationship between situational group-based anger
and hostile collective action.
Hypothesis 2: Situational group-based anger will have
a positive indirect relationship with hostile collective
action, as fully mediated by collective action tendencies.
Finally and third, previous research has suggested that many
psychological variables (e.g., procedural fairness and per-
ceived group support, Van Zomeren et al., 2004; appraisal of
legitimacy, Leonard et al., 2011) influenced collective action
fully though situational group-based anger. Moreover, the
studies about the effects of group identification (i.e., another
variable formed before the trigger events; see Tropp &
Wright, 2001) and anger on collective action showed that the
variables formed before the trigger events also influenced
collective action fully through situational group-based anger
(Gordijn, Yzerbyt, Wigboldus, & Dumont, 2006; Mackie
et al., 2000;Yzerbyt, Dumont, Wigboldus, & Gordijn, 2003).
In addition, previous research revealed the significantly
negative relationship between general attitudes and situ-
ational anger (DeSteno, Dasgupta, Bartlett, & Cajdric, 2004;
Lau-Gesk & Meyers-Levy, 2009; Moore & Hoenig, 1989;
Smith et al., 2007). Therefore, we predicted that situational
group-based anger should be another full mediator of the
negative relationship between general attitudes toward the
advantaged group and hostile collective action.
Hypothesis 3: General attitudes toward the advantaged
group formed before the trigger event will have a negative
indirect relationship with hostile collective action, as fully
mediated by situational group-based anger produced after
this trigger event.
Figure 1. Hypotheses of the relationships among general attitudes towardthe advantaged group, situational group-based anger, hostile collectiveaction tendencies, and hostile collective action. H1 = hypothesis 1;H2 = hypothesis 2; H3 = hypothesis 3.
PsyCh Journal 3
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
Method
ParticipantsThe participants were 152 Chinese undergraduate volunteers
(67 male and 85 female) from a university in the north of
China, whose ages ranged from 18 to 33 years (M = 21.75,
SD = 2.23). Thirty-eight percent of the participants majored
in the liberal arts (e.g., accounting, human resource manage-
ment, English, marketing and sales), and the other 62%
majored in the sciences (e.g. math, computer science,
physics, engineering). In this study, they were randomly
assigned to one of 38 groups, each of which consisted of four
members. The groups were categorized as all male (10%),
mostly male (18%), even sex distribution (23%), mostly
female (31%), or all female (18%). In addition, these groups
included low familiarity groups (all members did not know
one another: 8%), moderate familiarity groups (some
members knew one another: 82%), and high familiarity
groups (every member knew all other members: 10%).
ProcedureOn arrival, the participant groups were presented with the
following written introduction by a female experimenter:
Welcome to this team study. Today all the team tasks
should be fulfilled by the entire group, which needs to
reach unanimous group opinions in a series of discussions
without the use of a ballot.
Your group belongs to a large team consisting of a
supervisory group and two task groups. As one of the task
groups, your group will process a twenty-minute commu-
nity programming task in which you must discuss and
choose unanimously ten essential facilities for a new com-
munity from a total of twenty options (e.g. greenbelt,
shop, food market and drugstore). This community pro-
gramming task will be divided into two stages. At the first
stage, your group should list the selected ten facilities on
an answer sheet after a fifteen-minute discussion. Then at
the second stage, your group will be permitted to check
the answers within five minutes by asking the supervisory
group to confirm one of your uncertain choices, because
the supervisory group has a help manual including the
programming experts’ analyses of all options that can
greatly improve the task performance.
In addition, the reward amount you are given will
depend on the performance of your group, which will be
decided by the number of your choices consistent with the
programming experts’ answers. Moreover, if both task
groups list seven or more facilities consistent with the
experts, these two task groups will share an additional
bonus of 80 yuan which will be allocated by the supervi-
sory group. At the end of this experiment, the supervisory
group will select the better of the two task groups on the
basis of their subjective judgments. Each member of the
better task group will get an additional 5 yuan then.
After reading the above introduction, the participant groups
began the programming task. At the second stage of this task,
they asked the supervisory group about any uncertain
choices and received satisfactory answers. All interactions
between the participant groups and the supervisory group
took place indirectly through the same female experimenter
who was trained to make some standardized responses.
When the programming tasks were completed, the partici-
pant groups were asked to spend 10 min discussing their
general evaluations of the supervisory group and the disad-
vantaged status of their group. Then their general attitudes
toward the supervisory group were measured. After this
measurement, the participant groups were told that both task
groups in their team reached an acceptable performance
level, so that these two task groups, including their own,
would share the additional bonus of 80 yuan. After a 2-min
wait, the participant groups were informed that the supervi-
sory group decided to give 20 yuan to them and 60 yuan to
the other task group. When the participant groups faced this
trigger event (i.e., unfair allocation), they were asked to
discuss and list the emotions they experienced within 5 min.
Obviously, the attitudes toward the supervisory group were
measured prior to the trigger event, whereas the emotions of
anger were measured after the event.
Afterwards, the participant groups’ hostile collective
action tendencies and hostile collective action were mea-
sured. Then, before the reports of the reward amount, each
participant completed a questionnaire that included an item
about the experimental purpose. As a result, no participants
were able to identify the true purpose of the study. Moreover,
the questionnaire also asked the participants to report
whether there were some leaders who determined the unani-
mous group opinions in their discussions. A review of the
participants’ responses revealed that 72% of the participant
groups did not have a leader, whereas 28% had one or more
leaders.
In fact, the supervisory group and another task group did
not exist in this experiment. Following the protocol of Saguy
4 Pathways to hostile collective action
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
et al. (2008), all participant groups were manipulated into
disadvantage by being told that the supervisory group would
possess resources (i.e., the help manual) and distribute extra
rewards (i.e., their additional bonus) in the team task. Simi-
larly, the reward amount depending on performance was just
a story. Each participant received 20 yuan regardless of the
group performance.
MeasuresData were collected from 38 groups and there were no indi-
vidual data in this study. Collective action tendencies and
collective action were quantified by obtaining each group’s
consensus after discussions that occurred within a limited
timeframe (McCauley, 1972; Meyers & Lamm, 1976; Wil-
liams & Taormina, 1993). The group attitudes were assessed
by averaging the group members’ reports of the attitudes of
the group as a whole, in an approach similar to that used for
the measurement of team characteristics in the work-team
context (Barsade, 2002; Bliese, 2000). With regard to group-
based anger, Barsade (2002) suggested that, while the anger
measurement was collected from the groups, an expert rating
was the best choice because of the following three reasons.
First, the expert ratings of anger could accurately catch the
intragroup emotional contagion. Second, the expert ratings
of anger could avoid the bias from group members’ self-
reports, as the individuals’ evaluations of the entire group’s
anger would be greatly influenced by their own emotions of
anger. Third, the expert ratings of anger were better able to
predict group behaviors than any other anger measurements
(e.g., self-report) as they could well represent the groups’
expressed emotions in real time. Therefore, group-based
anger in the current study was assessed by the expert ratings
of the participant groups’ listed emotional words.
General attitudes toward the advantaged group
The participant groups’ general attitudes toward the advan-
taged group were measured using the question, “How would
your group evaluate the supervisory group?” with the fol-
lowing bipolar adjective pairs: warm–cold, friendly–hostile,
suspicious–trusting, positive–negative, admiration–disgust,
and respect–contempt (see Wright, Aron, McLaughlin-
Volpe, & Ropp, 1997). Each group member responded to
these items independently after the group discussion about
their evaluations of the supervisory group, and gave the
answers on a 4-point scale without a middle point. The group
attitude was calculated by averaging the four members’
reported attitudes. The internal consistency coefficient (a) of
these six items was 0.91.
Situational group-based anger
After a 5-min discussion, the participant groups were asked
to list the emotions they experienced when they were given
only 20 yuan whereas another task group was given 60 yuan.
Three independent, trained raters outside the participant
groups then evaluated the responses of all 38 groups using a
4-point scale ranging from 1 (very calm) to 4 (very angry).
The three raters’ evaluations were averaged to calculate an
index of group-based anger. Inter-rater reliability (a), com-
puted using the most popular measure of the correlation
between raters (Kasten & Nevo, 2008; Murphy & De Shon,
2000), was 0.90.
Hostile collective action tendencies
The participant groups were presented with the following
instruction: “If the supervisory group’s final bonus is
decided by your group, please discuss how much of a reward
your group thinks the supervisory group in your large team
should get within five minutes. The reward amount must be
between 0 and 60 yuan, and it will be unknown to the super-
visory group.” Because lesser rewards reported by the par-
ticipant groups indicated greater tendencies of retaliation
and punishment on the advantaged group, we then recoded
the given reward amount reversely as scores of hostile col-
lective action tendencies, ranging from 0 to 60.
Hostile collective action
The participant groups were presented with another instruc-
tion: “The supervisory group’s final bonus will be a
weighted average of the rewards given by your group,
another task group and the experimenter interacting with
them. In the next five-minute discussion, please make a final
decision on the reward amount given to the supervisory
group. The reward amount must be between 0 and 60 yuan.
Please note that the supervisory group will know the final
rewards given by your group.”
This measurement of collective retaliation and punish-
ment action did not affect the participant groups’ disadvan-
tage because they were told that their allocation would only
be used as a reference to determine the advantaged group’s
final rewards. Moreover, the final rewards known by the
supervisory group could adversely influence the magnitude
of the participant groups’ rewards, because after this mea-
surement the supervisory group would select the better task
group and decide whether a particular participant group
would receive greater rewards. As a result, the measure of
hostile collective action, which would have a factual impact
PsyCh Journal 5
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
both on others (i.e., the supervisory group) and on the par-
ticipant group themselves, was much closer to the group’s
actual behavior. Similarly to the measurements of hostile
collective action tendencies, we recoded the final reward
amount reversely as scores of hostile collective action,
ranging from 0 to 60.
Results
The participant groups’ responses to the question of experi-
mental purpose showed that almost all the participants
thought this study focused on team collaboration and team
performance in an unfair situation. Video analysis of the
group process also indicated that all participant groups were
strongly involved in the study, because they looked very
anxious or angry when their group performance was influ-
enced by the situational factors. In addition, all the partici-
pant groups believed there was a supervisory group and
another task group in the team, and considered themselves to
be at a disadvantage; therefore the manipulation of group
status was deemed to be successful. The descriptive statistics
and intercorrelations are reported in Table 1.
The strength of the hostile collective action, M = 25.45,
SD = 16.11, was weaker than that of the collective action
tendencies, M = 31.08, SD = 14.77, t(37) = -3.34, p < .01.
Video analysis of the group discussion in the measurement
of hostile collective action clearly showed that this difference
was produced because the participant groups believed that
hostile collective action would have some actual impacts in
this experiment (e.g., possibly influencing their own rewards,
partly deciding the supervisory group’s final rewards).
The main objective of the present study was to explore the
role of general attitudes toward the advantaged group that
are formed before a trigger event in predicting the disadvan-
taged groups’ hostile collective action through situational
group-based anger that is produced after this trigger event.
Moreover, the current study also needed to examine the
effects of general attitudes toward the advantaged group and
situational group-based anger on the prediction of hostile
collective action through their collective action tendencies.
Thus, we tested the hypothetical pathways using multiple
regression analysis (Baron & Kenny, 1986) with hostile col-
lective action as a dependent variable. Otherwise, the indices
of group characteristics (i.e., gender, familiarity, and the
presence of leaders) were not significantly correlated with
the dependent variable. Therefore, these group characteris-
tics were not included in the following analyses.
Hypothesis 1 predicted that general attitudes toward the
advantaged group would have a negative indirect relation-
ship with hostile collective action fully mediated through
collective action tendencies. This hypothesis was tested
using three steps (Baron & Kenny, 1986). First, general
attitudes toward the advantaged group predicted hostile col-
lective action significantly, b = -0.38, p = .02. Second,
general attitudes toward the advantaged group predicted
hostile collective action tendencies significantly, b = -0.54,
p = .00. Finally and third, hostile collective action tendencies
predicted hostile collective action significantly, b = 0.81,
p = .00, whereas the effects of general attitudes toward the
advantaged group on hostile collective action became non-
significant, b = 0.06, p > .05, when hostile collective action
tendencies were added to the equation. Thus, hostile collec-
tive action tendencies fully mediated the effects of general
attitudes toward the advantaged group on hostile collective
action. Hypothesis 1 was supported.
Hypothesis 2 predicted that situational group-based anger
would have a positive indirect relationship with hostile col-
lective action fully mediated through collective action tenden-
Table 1Descriptive Statistics and Intercorrelations for Variables
Variable M SD 1 2 3 4 5 6 7
1 General attitudes 2.35 0.37 –2 Situational anger 2.60 1.01 -0.50** –3 Collective action tendencies 31.08 14.77 -0.54** 0.59** –4 Collective action 25.45 16.11 -0.38* 0.62** 0.78** –5 Sexa – – -0.22 0.19 0.16 0.14 –6 Familiarityb – – -0.13 -0.13 0.09 0.08 0.03 –7 Leaderc – – 0.19 -0.18 0.05 -0.03 0.06 0.24 –
Note. n = 38.aThe variable is coded such that 1 = male groups; 2 = male dominance groups; 3 = equilibrium sex groups; 4 = female dominance groups; 5 = female groups. bThevariable is coded such that 1 = low familiarity; 2 = moderate familiarity; 3 = high familiarity. cThe variable is coded such that 1 = groups without leaders, 2 = groupswith some leaders.*p < .05. **p < .01.
6 Pathways to hostile collective action
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
cies. Similarly, this hypothesis was also tested using three
steps. In the first step, situational group-based anger predicted
hostile collective action significantly, b = 0.62, p = .00. In the
second step, situational group-based anger predicted hostile
collective action tendencies significantly, b = 0.59, p = .00. In
the third step, hostile collective action tendencies predicted
hostile collective action significantly, b = 0.63, p = .00,
whereas situational group-based anger was no longer a pre-
dictor of hostile collective action, b = 0.25, p > .05, when
hostile collective action tendencies were added to the equa-
tion. Thus, hostile collective action tendencies fully mediated
the effect of situational group-based anger on hostile collec-
tive action. Hypothesis 2 was supported.
Hypothesis 3 predicted that general attitudes toward the
advantaged group that are formed before the trigger event
would have a negative indirect relationship with hostile col-
lective action, fully mediated through situational group-
based anger produced after the trigger event. This hypothesis
was also tested using three steps. First, general attitudes
toward the advantaged group predicted hostile collective
action significantly, b = -0.38, p = .02. Then, general atti-
tudes toward the advantaged group predicted situational
group-based anger significantly, b = -0.50, p = .00. Finally,
situational group-based anger predicted hostile collective
action significantly, b = 0.58, p = .00, whereas the effects of
general attitudes toward the advantaged group on hostile
collective action became nonsignificant, b = -0.09, p > .05,
when situational group-based anger was added to the equa-
tion. Thus, situational group-based anger fully mediated the
effects of general attitudes toward the advantaged group on
hostile collective action. Hypothesis 3 was supported.
In conclusion, these pathways explaining hostile collective
action from general attitudes, situational anger, and collective
action tendencies revealed that general attitudes toward the
advantaged group that were formed before the trigger event
predicted hostile collective action indirectly through the
mediating effects of situational group-based anger and hostile
collective action tendencies that were both produced after the
trigger event. In addition, situational group-based anger had
an indirect relationship with hostile collective action as fully
mediated by collective action tendencies.
Discussion
The present study provided evidence for the predictive
effects of both general attitudes toward the advantaged group
formed before the trigger event and situational group-based
anger produced after this trigger event on hostile collective
action at the group level. Specifically, general attitudes
toward the advantaged group had an indirect predictive value
that was fully mediated by hostile collective action tenden-
cies and situational group-based anger, whereas situational
group-based anger predicted hostile collective action fully
mediated through collective action tendencies.
These results about the mediating effects of hostile col-
lective action tendencies on the relationship between
general attitudes toward the advantaged group and hostile
collective action could be explained by planned behavior
theory (Ajzen, 1991), which suggests that attitudes predict
behaviors indirectly through behavioral intentions. Further-
more, the findings extended this theory to the domain of
collective action by indicating how general attitudes toward
the advantaged group would predict hostile collective
action. In addition, when hostile collective action tenden-
cies were taken into consideration, general attitudes toward
the advantaged group seemed to be stronger predictors
of hostile collective action (the path coefficient was
-0.54 ¥ 0.81 = -0.44) than situational group-based anger
(the path coefficient was 0.59 ¥ 0.63 = 0.37). Although the
path coefficient difference still needs to be tested in future
research, it is apparently necessary to include the general
attitudes toward the advantaged group among the predictors
of hostile collective action, because sometimes they may
have stronger predictive effects than situational group-
based anger. Therefore, hostile collective action can be
accurately predicted when adding the pathway of general
attitudes toward the advantaged group to the dual pathway
model (group efficacy and group-based anger) proposed by
Van Zomeren et al. (2004).
Moreover, the results that suggested situational group-
based anger predicted hostile collective action fully medi-
ated through collective action tendencies accorded with
findings from previous research which showed that emotions
of anger were important motivators of collective action ten-
dencies (Iyer et al., 2007; Leach et al., 2007; Levine, 2010;
Smith et al., 2008) and collective action (Yang, 2000). The
role of situational group-based anger in hostile collective
action tendencies and actual collective action occurred
because the majority of participants were mobilized by the
desire for emotional catharsis to find an outlet for anger in
hostile collective action (Hercus, 1999). At the same time,
situational group-based anger could incline the members to
participate in hostile collective action by increasing their risk
taking (Rydell et al., 2008).
PsyCh Journal 7
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
Furthermore, these results proved the mediating effects of
collective action tendencies on the relationship between situ-
ational group-based anger and collective action in the work
of Van Zomeren et al. (2011). Because their research focused
on an instrumental collective action that aimed to achieve the
goals of affecting the tuition fee policy, whereas the current
study explored a hostile collective action in which the dis-
advantaged groups retaliated and punished the supervisory
group to release their anger, it was possible that situational
group-based anger would always influence collective action
fully mediated through collective action tendencies no
matter what the type of collective action.
Most importantly, the findings from this study present a
pathway from general attitudes toward the advantaged group
formed before the trigger event to hostile collective action
through situational group-based anger produced after the
trigger event. This pathway describes a continuous process
of hostile collective action. That is, hostile collective action
happens not only because of the trigger events, but also due
to the relatively constant attitudes formed before these
trigger events. In other words, through their daily interac-
tions, the disadvantaged groups have formed attitudes
toward the advantaged group that will influence their emo-
tions of anger when a trigger event occurs, and then affect
hostile collective action for responding to this trigger event.
As a result, this pathway extends the two pathways of group
efficacy and group-based anger of Van Zomeren et al. (2004)
by exploring the role of general attitudes toward the advan-
taged group together with situational group-based anger, and
brings relatively constant predictors to the situational
pathway model of collective action.
In addition, the current study provides measurements of
group attitudes, emotions, and behaviors toward an out-
group. By using these measures, future intergroup research
can use group data to validate the conclusions obtained from
individual assessments. Also, this work develops a new para-
digm, including some intergroup interactions, and operation-
alizes hostile collective action as the disadvantaged groups’
retaliation and punishment behaviors toward the advantaged
group. These experimental methods will be very useful for
future research that examines actual collective action in the
lab.
Finally, these findings have several implications for prac-
tice. First of all, the pathways to hostile collective action
found from this study show that social movement can be
satisfactorily predicted when general attitudes toward the
advantaged group, situational group-based anger, and hostile
collective action tendencies are taken into consideration. In
particular, it is quite helpful to explore the effects of general
attitudes toward the advantaged group (i.e., relatively con-
stant factors) on hostile collective action because we can
foresee hostile collective action before a trigger event by
monitoring these predictors in daily life. Therefore, by regu-
larly investigating general attitudes toward the advantaged
group, practitioners in public administration can be warned
when the possibility of hostile collective action increases.
Otherwise, the pathway from general attitudes toward the
advantaged group to hostile collective action as mediated
through situational group-based anger can contribute to
understanding the real process of hostile collective action
occurrence. According to these findings, hostile collective
action breaks out as the trigger events happen because the
disadvantaged groups’attitudes toward the advantaged group
which are formed before the trigger events, influence their
situational anger, and further affect the final collective action
they take. Thus, to control hostile collective action, we should
pay more attention to the daily interactions between the
disadvantaged and advantaged groups rather than only to the
trigger events per se. Moreover, this approved pathway also
suggests that destructive collective action could be reduced by
improving the disadvantaged groups’ attitudes toward the
advantaged group through some effective interventions.
However, there are still a few limitations in the present
study concerning ecological validity. First, the participant
groups had very little basis on which to form general attitudes
toward the advantaged group and the emotions of anger in the
laboratory setting, given the lack of direct interactions with
the supervisory group. Consequently, the attitude strength
and the intensity of anger may not completely reflect what
might occur in the real world. Future research should include
multiple rounds of direct intergroup interactions to provide
the participant groups with enough information for forming
their attitudes and emotions toward the other group.
Second, in this study, the participant groups might allocate
more rewards to the supervisory group in order to receive a
greater bonus of their own, whereas in actual collective
action the participants will punish the advantaged groups for
improving the status of their group. Thus, collective action
measured using the participant groups’ allocated rewards to
the supervisory group in the current study was different from
collective action in real life, which would exert a destructive
impact on the advantaged groups, because the collective
action manipulated in the present experiment did not include
any drastic intergroup conflicts and would not bring serious
8 Pathways to hostile collective action
© 2012 The Institute of Psychology, Chinese Academy of Sciences and Blackwell Publishing Asia Pty Ltd
troubles and pressures to the advantaged group. Future work
should employ other measurements of collective action (e.g.,
signing a petition) that are much more similar to those used
in real life, and examine the findings from the present study.
Third, the analyses focused on participant groups that
were treated unfairly by the powerful group. Further clarifi-
cation is required to explore the pathways to hostile collec-
tive action using participant groups that are advantaged by
the treatment. Moreover, this study was conducted by only
one female experimenter. Future research should involve
both a male and a female experimenter and randomly assign
the participant groups to these two experimenters.
Finally, the participants were all undergraduate students
with a relatively narrow range of backgrounds. Therefore,
future studies need to investigate public attitudes, emotions,
and collective action using questionnaires designed to test
the generalizability of our findings.
In summary, the present study provides insight into the
pathways, including the role of general attitudes toward the
advantaged group that were formed before a trigger event,
and the role of situational group-based anger produced after
that event in the prediction of hostile collective action
through collective action tendencies at the group level.
Future research can enrich our findings by adding other
relatively constant and situational predictors to the existing
pathways and enhancing our understanding of the interven-
tions through which attitude improvements can successfully
reduce destructive collective action in practice.
Acknowledgments
This research was supported by a key project of the Natural
Science Foundation of China (Grant 70731004), the Youth
Science Foundation of the Institute of Psychology, CAS
(Grant Y0CX153S01), and the Knowledge Innovation
Program of the Chinese Academy of Sciences (Grant
KSCX2-YW-R-130 and KSCX2-EW-J-8).
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