Running head: VIOLENCE AND GROUP IDENTIFICATION Perpetrating Violence Increases Identification with Violent Groups: Survey Evidence from Former Combatants Rebecca Littman Princeton University November 21, 2016 Author Note Thanks to Elizabeth Levy Paluck, Joel Cooper, Bethany Park, Stathis Kalyvas, members of Elizabeth Levy Paluck’s lab, and participants in the CAPERS Conference and Princeton’s Joint Degree Program in Social Policy for helpful comments. I also thank Christopher Blattman and Jeannie Annan for providing full access to the datasets used in the studies. Correspondence should be addressed to Rebecca Littman, Department of Psychology, Princeton University, Princeton, NJ 08540. E-mail: [email protected]. VIOLENCE AND GROUP IDENTIFICATION Abstract Heightened group identification motivates individuals to perpetrate violence, but can perpetrating violence – in and of itself – increase identification with violent groups? We test this idea using archival surveys of ex-combatants. In Liberia, where many combatants joined their violent group willingly, the data show a positive association between perpetrating violence and identification with one’s violent group (Study 1). Study 2a replicates and extends this finding with data from ex-combatants in Uganda who were abducted into their group, using a natural experiment in which some abductees were forced to perpetrate violence against loved ones while others were not. Only perpetrating violence, not exposure to violence more generally (Study 2b), and only violent behaviors that involve a heightened sense of personal responsibility (Study 3) are associated with increased group identification. These findings support a cycle of violence in which perpetrating violence increases identification with violent groups and heightened identification increases future violent behavior. Keywords: violence, harm, intergroup conflict, group identification, survey 2 VIOLENCE AND GROUP IDENTIFICATION Perpetrating Violence Increases Identification with Violent Groups: Survey Evidence from Former Combatants A top priority for social psychologists is to understand how individuals come to participate in collective violence such as intergroup conflict and terrorism. Despite claims that violence is declining over time (Pinker, 2011), countries across the world experienced more than 16,800 terrorist attacks in the year 2014 alone, resulting in over 43,500 deaths and 40,900 injuries (Miller, 2015). Another 126,059 individuals were killed in civil conflict in 2014, the highest number of fatalities recorded in a single year since the Rwandan genocide in 1994 (Melander, 2015). Although it is tempting to think that most perpetrators of collective violence are sadists or psychopaths who are motivated by an internal desire to harm others for personal pleasure or instrumental gain (Taylor, 2009; Woodworth & Porter, 2002), this is often not the case (Waller, 2002). Research shows that even suicide bombers acting on behalf of terrorist organizations generally do not exhibit psychopathology. Instead they tend to come from educated, middle-class backgrounds (Atran, 2003). Social psychologists have long been interested in the questions of how and why individuals engage in collective violence, overcoming their personal discomfort with physically harming others (Grossman, 1996). Motivated in part by observations of extreme intergroup conflict and genocide, such as the Holocaust, the Rwandan genocide, and the Israeli-Palestinian conflict, psychologists have established that heightened identification with one’s ingroup can induce individuals to perpetrate violence on behalf of their group. Under certain conditions, ingroup love can pave the way to outgroup hate, making violence seem like a reasonable or even virtuous behavior (Fiske & Rai, 2014; 3 VIOLENCE AND GROUP IDENTIFICATION Reicher, Haslam, & Rath, 2008; Sidanius & Pratto, 1999). Correlational studies and research from the lab show that highly identified group members, particularly those whose individual sense of self is fully integrated with that of their group, are more supportive of and willing to engage in violent behavior on behalf of their ingroup (Swann, Gomez, Huici, Morales, & Hixon, 2010; Swann, Jetten, Gomez, Whitehouse, & Bastian, 2012). High identifiers may even come to associate subjective pleasure with outgroup pain, making it possible to overcome their aversion to harming competitive outgroup members (Cikara, 2015). While this research demonstrates that identification with a group can motivate ordinary people to perpetrate violence, in many cases in the real world, individuals do not initially identify strongly with their violent group. Many violent groups are attractive for social or economic reasons. Only after joining are individuals faced with the reality of having to engage in violent behavior to stay in the group. For example, an individual might join the military in order to gain transferrable skills or to receive help paying for college in the future, rather than because of a particular ideology or pre-existing allegiance (Kleykamp, 2006). Individuals may also be conscripted or even abducted into violent groups, which are relatively common “recruitment” strategies employed by militant and insurgent groups. Between 1980 and 2009, 45% of active insurgent groups recruited through force: 32% through coercion and 13% through abduction (Cohen, 2013). Such “recruits” likely exhibit low levels of identification with their violent group to begin with, and may even harbor negative attitudes or active resentment toward the group. In all of these relatively common cases, the encouragement to perpetrate violence on behalf of the group may come before the individual feels a sense of group 4 VIOLENCE AND GROUP IDENTIFICATION identification. In this paper, we examine whether the process of group identification leading to engagement in violent behavior on behalf of that group also operates in the reverse direction. That is, does perpetrating violence on behalf of a violent group increase identification with the group? If perpetrating violence – in and of itself – increases group identification, this has important implications for future violent behavior and may help to explain cycles of intergroup conflict over time. Specifically, it suggests a cycle of violence in which violent behavior increases identification with violent groups and group identification increases future violent behavior. It also implies that individuals need not start off as high group identifiers to eventually become loyal group members. Violence itself may help to trigger this process, even among individuals who are resistant to joining the group in the first place, or who join only for opportunistic reasons. Research Hypothesis In this paper, we propose the following hypothesis: perpetrating violence on behalf of one’s group will increase identification with the violent group. To better illustrate this hypothesis, imagine the extreme case of a young man living with his family in a small village in Northern Uganda. As he sits outside of his hut one evening, his village is attacked by members of the Lord's Resistance Army (LRA), a rebel group terrorizing his region. A soldier forces a machete into the young man's hand, and instructs him to aim the blade at his uncle. Either the young man swings the machete at his uncle, or he will be harmed by the rebels holding him hostage. After the young man complies with the soldier's request, he is taken away from his family and friends, now a new member of the LRA. The act of killing his uncle with a machete could lead the young 5 VIOLENCE AND GROUP IDENTIFICATION man to feel even more resentment toward the LRA for forcing him to carry out such a heinous act. Alternatively, and perhaps surprisingly, engaging in such violent behavior may have the opposite effect of making the young man feel more identified with the LRA. Existing Empirical Evidence To date, there is very little empirical research that predicts how this young man is most likely to react. One line of research we can look to examines the effect of experiencing, as opposed to perpetrating, violence on attitudes towards one’s group. Two classic studies in social psychology demonstrate that undergoing an unpleasant or violent group initiation – personally experiencing harm in order to join a group – increases the attractiveness of a new group (Aronson & Mills, 1959; Gerard & Mathewson, 1966). In these studies, participants listened to a group discussion in the lab but did not interact with other group members. Similarly, recent experimental work in the lab suggests that collectively undergoing a painful task in a group setting (small groups of 2-6 university students) increases self-reported level of identification with the group (Bastian, Jetten, & Ferris, 2014). However, the only study that investigates this effect using groups outside of the lab (Dutch sororities) found that undergoing a more severe initiation actually decreased the attractiveness of the group (Lodewijkx & Syroit, 1997). Additionally, it is important to note that since all of these studies involved experiencing, as opposed to perpetrating, violence, it is unclear whether the same psychology applies. The one previous paper to examine the association between aggression and group identification finds that engaging in aggressive acts against one’s former ingroup is the strongest predictor of commitment to one’s new group (Toosi, Masicampo, & Ambady, 6 VIOLENCE AND GROUP IDENTIFICATION 2014). While this finding is an important first step, the paper looks at players who switch teams in professional basketball and in a live-action tag game. Therefore the aggression outcomes are not physical violence of the kind we see in situations of conflict. The researchers suggest that their findings could extend to more extreme scenarios, such as when civilians become armed insurgents and even to the horrific situation in which child soldiers are forced to kill a family member. This is what we aim to test in this paper, using archival data from ex-combatants who fought for violent groups in Liberia and Uganda and engaged in extreme forms of physical violence, including forced violence against family members. Theorizing the Path from Violence to Group Identification Now let us return to the case of the young man in Northern Uganda who is abducted into the LRA and forced to perpetrate violence against his uncle. Why do we hypothesize that engaging in this violent behavior would increase his identification with the violent group? While there are many possible mechanisms that likely work in tandem, we will focus on two mechanisms stemming from the aversive and counternormative nature of violence: (1) individuals increase their group identification in order to justify the distress (negative physiological arousal) they feel after perpetrating violence, and (2) individuals fear rejection from meaningful others outside of the violent group, and therefore increase their identification with the group that supports and rewards their violent behavior. The Aversive Nature of Violent Behavior Research from moral and clinical psychology shows that individuals generally exhibit an aversion to harming others and will avoid causing harm even at personal cost 7 VIOLENCE AND GROUP IDENTIFICATION (Crockett, Kurth-Nelson, Siegel, Dayan, & Dolan, 2014; Grossman, 1996). Previous research finds that when individuals – particularly those who are inexperienced with violent behavior – do harm others, they tend to experience high levels of psychological and physiological distress (Maguen et al., 2010; Miller & Cushman, 2013; Miller, Hannikainen, & Cushman, 2014). This was first demonstrated in the field of social psychology by Milgram's (1965) electric shock experiments. Although a number of participants complied with the experimenter's request to shock another individual until he was presumably gravely injured or dead, Milgram describes the tension that many participants exhibited as they carried out the task. More recent lab studies reveal that individuals experience distressing physiological reactions when they make moral decisions about harming others or simulate violent actions (Cushman, Gaffey, Gray, & Berry Mendes, 2012; Navarrete et al., 2012). In terms of psychological distress, the act of killing another human being in combat has been linked to symptoms of posttraumatic stress disorder (PTSD) and depression, even when controlling for other war experiences and exposure to violence (MacNair, 2002; Maguen et al., 2010). What are the consequences of engaging in aversive behaviors? According to the theory of cognitive dissonance, when individuals feel distress after engaging in a behavior that violates personal beliefs or normative standards, they are motivated to reduce this distress in order to restore a positive view of the self (Festinger, 1957; Stone & Cooper, 2001). Capitalizing on the aversive nature of violent behavior, early research used interpersonal harm as a precipitating event through which to study dissonance (e.g., Brock & Buss, 1962; Glass, 1964; Lerner & Matthews, 1967). Researchers explored how 8 VIOLENCE AND GROUP IDENTIFICATION harming others under classic conditions of dissonance-arousal could lead perpetrators to trivialize the suffering of their victim (Brock & Buss, 1962) or act less friendly toward their victim (Glass, 1964). In an intergroup context, derogating the target of one’s violent behavior may extend to derogating the entire outgroup as a way of reducing dissonance (Cooper & Mackie, 1983; Glasford, Dovidio, & Pratto, 2009). In addition to derogating one’s victim or trivializing their suffering, we hypothesize that individuals may reduce distress after engaging in violent behavior by increasing their identification with the violent group. This is consistent with Festinger’s (1957) original observation that social groups can be vehicles for reducing cognitive dissonance. When individuals perpetrate violence on behalf of a group, they generally receive support and encouragement for their behavior from the other members of their violent group. The experience of receiving positive feedback from their group for the aversive violent behavior may help to provide a justification for their actions, thus reducing their distress and in turn increasing identification with the violent group. For example, individuals may tell themselves that they must really love their group if they were willing to harm someone on behalf of the group. They may also simply feel more positive about the group after receiving support for their aversive behavior from other group members. In short, individuals may heighten their identification with the violent group to help reduce their discomfort after perpetrating violence. The Counternormative Nature of Violent Behavior In most societies, people are socialized from a young age with the norm of “do no harm.” Even in violent contexts, at least some of an individual’s family and community members likely still believe that harming others is not acceptable behavior, and therefore 9 VIOLENCE AND GROUP IDENTIFICATION do not endorse the individual’s engagement in violent behavior. In this case, we theorize that engaging in violent behavior on behalf of a group might increase identification with the violent group through its negative consequences on the individual’s other group memberships. For example, a young man abducted by the LRA in Uganda may feel like his family now sees him as a rebel, and does not approve of his violent behavior. In fact many young people in Uganda abducted by the LRA felt that they “couldn’t go home” (Otim, 2009). If an individual perceives a lack of social support for their violent behavior from meaningful others outside of the violent group, this can lead to disidentification with other social identities (Becker, Tausch, Spears, and Christ, 2011; Glasford, Pratto, & Dovidio, 2008; McKimmie et al., 2003). In the case of violent groups, this might lead individuals to disidentify from others who are perceived to be less supportive of violent behavior, such as the individual’s family and community members back home. Not only is this perceived lack of support for violent behavior expected to lead to disidentification with other social groups, it is also expected to lead to increased identification with the violent group. When individuals feel that others are rejecting them, this heightens the activation of group constructs and social identities, and leads individuals to judge their own group as more meaningful and cohesive than other groups (Knowles & Gardner, 2008). Having fewer other social identities also leads individuals to identify more strongly with their existing ingroup (Grant & Hogg, 2012). On a practical level, some violent groups may make it difficult for individuals to leave the group, threatening to harm the individual or their loved ones if they try to escape. In this case, the individual may have no other identities available to them apart from the violent group, causing them to cling to their one available social identity. 10 VIOLENCE AND GROUP IDENTIFICATION Present Research: Survey Evidence from Former Combatants In this research, we test the hypothesis that perpetrating violence on behalf of a group increases group identification. A strong test of this hypothesis, of course, presents an ethical and methodological challenge. Researchers would need to randomly assign individuals who belong to the same group to either engage in violent or non-violent behavior on behalf of the group. Undoubtedly, researchers cannot ethically randomly assign individuals to engage in extreme forms of violent behavior in the lab or in the field. While it may be possible to simulate similar psychological processes in the lab using less extreme manipulations of interpersonal harm, a prior step is to demonstrate that this phenomenon exists among members of actual violent groups who injure or kill others on behalf of their group. In this paper, we use archival data – surveys with former combatants in Liberia and Uganda – to test the hypothesis that engaging in violent behavior on behalf of a group increases identification with the violent group in a set of enormously consequential real world cases. Additionally, in Northern Uganda we study a tragic natural experiment in which some members of the Lord’s Resistance Army (LRA) were quasi-randomly assigned to perpetrate violence against loved ones while other group members were not assigned to perpetrate violence. This natural experiment takes place in one of the most unlikely contexts in which to find a relationship between violent behavior and group identification. The LRA was almost entirely comprised of youth abducted from their homes and forced with the threat of death to join and stay in the violent group. This is a case in which it should be extremely difficult to produce any level of group identification, and thus it provides a strict test of the hypothesis. Additionally, while it is not possible to 11 VIOLENCE AND GROUP IDENTIFICATION causally test the mechanisms through which perpetrating violence increases group identification using these archival datasets, we are able to conduct a valuable within dataset test of the distress-based mechanism theorized above. Study 1: Violent Behavior and Group Identification in Liberia Study 1 uses survey data from former combatants in Liberia to examine whether there is a positive association between perpetrating violence and group identification, controlling for individual differences in war experiences and demographic characteristics. Study Context Liberia, a small West African nation of roughly 3.5 million people, experienced two long and brutal civil wars between 1989 and 2003. In 1989, following a decade of increasing political tensions and human rights abuses, Charles Taylor's National Patriotic Front of Liberia (NPFL) began a revolt, which quickly escalated into a civil war. Taylor's government proved to be little different from that of the previous regime, and by 1999 two anti-Taylor groups emerged to fight the government. The civil wars in Liberia left nearly 150,000 people dead, many of them civilians, and led to the complete breakdown of law and order (Ellis, 1999). Description of Data The archival data used in this study come from surveys with 1,099 former combatants (93.4% male), collected by Blattman and Annan (2016) from August through October 2009, approximately six years after the end of Liberia’s civil crisis. The data were collected as part of the registration process for an ex-combatant agricultural training program run by the non-governmental organization Action on Armed Violence (Blattman 12 VIOLENCE AND GROUP IDENTIFICATION & Annan, 2016; see Appendix 1 for more information on the survey and data collection procedures). Analytic Approach In this study, we test whether there is a positive association between the violence that ex-combatants report committing during the war and their violent group identification using ordinary least squares (OLS) regression. We predict group identification by violence perpetrated on behalf of the group, controlling for the individual differences in demographic characteristics and war experiences described below, and calculating robust standard errors. Measures Independent variable: Violent behavior. In a section on war experiences that appeared approximately halfway through the survey, respondents were asked: “How many violent acts were you forced to commit: none, few, some, or plenty?" Dependent variable: Group identification. The dependent variable is an index of identification with one’s violent group, the respondent’s fighting faction during Liberia’s civil war. After discussing their war experiences with the interviewer, respondents were asked a series of questions on their experience in their violent group. This included two questions that tap into different dimensions of identification: “Did you enjoy being a member of this faction?” and “Was there a time when you really believed in this faction with your heart?” Answer options were on a four-point scale of “not at all,” “small,” “some,” or “plenty.” Responses to these two questions were averaged to create a group identification index. Covariates. We control for a number of variables to account for individual 13 VIOLENCE AND GROUP IDENTIFICATION differences in demographic characteristics and war experiences: age, gender, religion (an indicator for whether the respondent is Christian), and ethnicity (indicators for the five major ethnic groups represented in the sample). Additionally, we control for individual differences in exposure to different types of violence using indices of violence witnessed, violence personally experienced, and violence experienced by loved ones (see Appendix 2 for a full list of the questions in these indices). We also control for a number of other war experience variables such as length of time the respondent spent in their violent group, whether they were given a gun to carry, and whether they ever had other soldiers under their command (see Table 1 for the full list of war experience covariates). Results Respondents in this sample come from eleven fighting groups active during Liberia’s civil conflict. The mean length of time spent in one’s group was 27.6 months (sd = 29.4), and the mean age at joining the group was 19.6 years old (sd = 6.78). Over half of respondents reported being abducted into their fighting group (57%), while the remaining 43% reported joining voluntarily. Turning to engagement in violent behavior, 66.4% of respondents reported perpetrating no violent acts, 17.9% reported “few” acts perpetrated, 5.7% “some” acts, and 10% “plenty” acts. When describing their level of identification with their fighting group, about 40% of respondents reported that they enjoyed being in their violent group and that they really believed in the group with their heart, at least a small amount of the time (see Table 1 for more descriptive statistics). 14 VIOLENCE AND GROUP IDENTIFICATION Table 1: Descriptive statistics for the Liberian ex-combatant sample Index of group identification (0-3) Enjoyed being a member of the violent group (0-3) Believed in the group with their heart (0-3) Index of violence perpetrated (0-1) Index of violence personally experienced (0-1) Index of violence witnessed (0-1) Index of violence experienced by loved ones (0-1) Length of time in violent group (months) Age when joined violent group Carried a gun while in violent group On the frontlines while in violent group Main role in violent group was as a soldier Held rank in violent group Held leadership position in violent group Abducted into violent group Most common violent groups: Member of LURD Member of NPFL Member of MODEL Member of GoL Member of LPC Mean 0.88 (1.14) N 1099 0.86 (1.21) 1099 0.90 (1.24) 0.20 (0.33) 0.49 (0.24) 0.78 (0.25) 1099 1077 1077 1077 0.51 (0.21) 1077 27.6 (29.4) 19.6 (6.8) 79% 18% 71% 30% 42% 57% 1094 1090 1096 1099 1099 1099 1099 1099 28% 27% 12% 12% 8% 1099 1099 1099 1099 1099 Note: This table includes descriptive statistics for the independent variable, dependent variable, and all war experience covariates used in the regression analysis for Study 1. Association between perpetrating violence and group identification. In this sample of former combatants from eleven violent groups in Liberia, there is a significant positive association between engaging in violent behavior and level of identification with the violent group. These results hold when controlling for individual differences in war experiences and demographic characteristics (β=0.304, CI = 0.092 – 0.515, p=0.005), as well as when excluding all covariates (β=0.273, CI = 0.057 – 0.490, p=0.013; see 15 VIOLENCE AND GROUP IDENTIFICATION Appendix 4 Table 1 for the full regression results). Additionally, the findings remain consistent when analyzing the two items in the group identification index separately (β=0.372, CI = 0.148 – 0.595, p=0.001 for enjoy; β=0.236, CI = 0.005 – 0.467, p=0.045 for believe). Discussion Survey data from former members of violent groups in Liberia provides initial evidence of a positive association between perpetrating violence and identification with one’s violent group. However, this sample has a number of limitations, which are characteristic of the correlational data obtained in this literature more generally. Chief among them are issues of causality. First, there is an issue of directionality; the association between perpetrating violence and group identification could be explained in full by more highly identified group members engaging in more violent behavior. For example, highly identified group members may seek out opportunities to engage in violence and may be more likely to comply when ordered to carry out violent acts. Second, since perpetration of violence is not randomly assigned, we cannot rule out the possibility that the positive association between group identification and violent behavior is driven by a third, unobserved variable. In other words, we cannot say with certainty that the relationship between violent behavior and group identification is causal. In the next set of studies, we use survey data from former combatants in Uganda that addresses these limitations. 16 VIOLENCE AND GROUP IDENTIFICATION Study 2a: Violent Behavior and Group Identification among Members of the Lord’s Resistance Army in Uganda In Study 2a, we replicate and extend the findings from Study 1, using survey data from former combatants who were abducted into the Lord’s Resistance Army (LRA) in Northern Uganda. We first test whether the positive association between perpetrating violence and group identification replicates in this sample, and then we examine whether quasi-random assignment to perpetrating violence against loved ones increases group identification, allowing for a causal interpretation of the data. Study Context Northern Uganda was plagued by a state of internal conflict for nearly 20 years. After failing to garner widespread support for his movement, Joseph Kony and his rebel group the LRA turned against the local population. The LRA came to rely on the abduction of children and young adults to fill its ranks. Abductees served as porters, soldiers, and sex slaves, commonly forced to loot, carry heavy loads, participate in battles with government forces, and mutilate or kill citizens. In extreme cases, the LRA leadership forced abductees to injure or kill members of their own communities or families (Blattman & Annan, 2010a; Eichstaedt, 2009). Estimates of the number of abducted youth in northern Uganda range from 52,000 to 75,000 (Blattman & Annan, 2010b; Pham, Vinck, & Stover, 2008). The majority of abductees eventually escaped and returned to their communities of origin (Beber & Blattman, 2013). Description of Data The survey data used in this study come from interviews with 351 male excombatants in Uganda who were abducted into the LRA. The data were collected as part 17 VIOLENCE AND GROUP IDENTIFICATION of the Survey of War Affected Youth (SWAY) Uganda in the Kitgum and Pader districts of Northern Uganda between September 2005 and March 2006 (Blattman & Annan, 2010a). The sample is limited to individuals abducted for at least two weeks because questions on group identification were only asked of those respondents. There are a number of aspects of this dataset and of the situation in Northern Uganda more broadly that make it particularly well suited to examining the relationship between violent behavior and group identification. First, we can reasonably assume that respondents in this sample did not identify with Kony or the LRA at the time of their abduction. We are able to make this assumption because in the case of Northern Uganda, support for Joseph Kony and the LRA was non-existent among the local Acholi population throughout the war (Acker, 2004). As this sample is tragically comprised of individuals who were abducted from the local population into the LRA, any increase in respondents’ level of group identification was triggered after joining the LRA. Additionally, it is often difficult to draw generalizable conclusions about the psychology of violence from combatant datasets because members of violent groups may differ from the general population in important ways. For example, individuals who are particularly drawn to violence may choose to join violent groups and are thus overrepresented in such groups relative to the general population. In the case of Northern Uganda, however, Beber and Blattman (2013) have shown that abduction by the LRA was largely indiscriminate. In other words, abduction was essentially “randomly assigned” among individuals within the same age range and location. Thus, we can feel confident that this is a relatively representative and non-clinical sample in terms of propensity to engage in violent behavior, increasing the generalizability of the findings. 18 VIOLENCE AND GROUP IDENTIFICATION Along similar lines, individuals who choose to leave violent groups or who are killed may differ from those who choose to remain combatants. This particular dataset was designed to avoid the problem of missing data from those who never returned home after their time in the LRA or those who did not survive combat. The survey sampling procedure involved recreating household rosters from before the war and randomly sampling from this pre-war population (Beber & Blattman, 2013). Thus, the researchers were able to collect basic information on respondents who were abducted by the LRA and never returned from captivity, on those who were no longer living in Northern Uganda at the time of the survey, and on those who died. The final sample used in this study is weighted to account for these dead or missing abductees. Quasi-random assignment to violent behavior. Most importantly for the causal test of our hypothesis, the situation in Northern Uganda presents a natural experiment in which some newly abducted members of the LRA were quasi-randomly assigned to perpetrate violence against loved ones while other group members were not. During the initial abduction, some individuals were forced to injure or kill family members or friends, before they had a chance to develop identification with the LRA through other means. While it is conceivable that violence carried out against loved ones could occur after the abduction incident, this would be incredibly rare as abductees were kept far away from their home communities in order to reduce the chance that they would escape from the LRA and return home. Family members abducted into the LRA at the same time were kept apart for this same reason (Baines, 2014). In Appendix 3, we provide statistical support for the claim that forced violence perpetrated against loved ones was quasi-randomly assigned among new LRA members. 19 VIOLENCE AND GROUP IDENTIFICATION First we compare conditional and unconditional differences in means on a number of prewar household characteristics to examine whether individuals forced to harm loved ones are observably different than those who were not forced to harm loved ones. Next we calculate the predicted probability that an abductee was forced to perpetrate violence against loved ones based on pre-war data, using a logistic regression of forced violence on indicators for year and location of birth, as well as pre-war household characteristics. These analyses suggest that harming loved ones was quasi-randomly assigned, conditional on the abductee’s location, age, and the size of their household before the war. One threat to the claim that violence was quasi-randomly assigned is that certain LRA commanders may have been more likely to make their abductees harm loved ones, and these particular commanders may also have been more effective at engendering group identification. However, there is no significant relationship between harming loved ones and level of violence in one’s LRA unit (β =-0.071, p=0.502), suggesting that the effects are not driven by the dynamics of particularly violent units. Analytic Approach First we replicate the analysis in Study 1 examining whether there is a positive association between violent behavior and group identification, controlling for individual differences in household characteristics and war experiences. To do so, we use weighted least squares regression, in which we predict level of identification with the LRA by an index of violence perpetrated. Observations are weighted by their inverse attrition and inverse absentee probabilities to account for abductees who died or never returned (Horvitz & Thompson, 1952). Regressions control for the pre-war household and war 20 VIOLENCE AND GROUP IDENTIFICATION experience covariates described below, as well as for the location of the survey and the year in which the respondent was abducted. Second, we extend the findings from Study 1 by testing whether there is a causal relationship between violent behavior and group identification, such that perpetrating violence increases identification with the violent group. In order to examine whether perpetrating violence causes an increase in level of identification with the violent group, one must be able to reasonably assume that engaging in violent behavior is randomly assigned at the individual level. As described above, we argue that the conflict in Northern Uganda represents a natural experiment in which some group members were quasi-randomly assigned to perpetrate violence against loved ones on behalf of the LRA, while other group members were not. To estimate the causal effect of violent behavior (in this case forced violence against loved ones, a subset of the broader violent behavior index we use in the correlational analysis) on group identification, we use a similar regression model, replacing the index of violent behavior with an indicator for whether the respondent perpetrated violence against loved ones. Measures Violent behavior. To form our first independent variable and test whether perpetrating violence is correlated with group identification, we combine questions on six types of violent acts that an individual may have perpetrated: killing a family member or friend, beating or “cutting” (e.g., with a machete) a family member or friend, killing a civilian, beating or “cutting” a civilian, killing an opposing soldier in battle, and raping someone. Respondents indicated whether they ever engaged in each behavior while they were with the LRA (yes / no), and responses to these six questions were averaged to 21 VIOLENCE AND GROUP IDENTIFICATION create the violent behavior index. To test the causal hypothesis that perpetrating violence increases group identification, the second independent variable is an indicator for whether the respondent ever harmed a loved one, either killing or beating a family member or friend. Group identification. The dependent variable in this study is an index tapping into different aspects of group identification while the respondent was a member of the LRA (not their current level of identification with the LRA at the time of survey). Respondents were asked whether they: felt allegiance toward the LRA and its leader, wanted to stay in the LRA and not escape, and felt like an important part of their unit. Answer options were on a four-point scale of “never,” “rarely,” “sometimes,” or “often.” Responses to these three questions were averaged to create the group identification index. Covariates. In the regressions we control for individual differences in war experiences, such as exposure to violence, length of longest abduction (log of the number of months), and experiences in the LRA. A full list of war experience covariates can be found in Table 2. We also control for individual differences in pre-war household characteristics. These variables come from a survey conducted with members of the respondent’s household, in which they were asked questions about what their household looked like in the year 1996. That particular year was chosen by the survey designers because it pre-dated 85% of abductions and was easily remembered as the first presidential election since 1980 (Beber & Blattman, 2013). Examples of these pre-war household characteristics include parents’ level of education and household assets (see all pre-war household covariates in Appendix 4 Table 2). 22 VIOLENCE AND GROUP IDENTIFICATION Table 2: Descriptive statistics for the Ugandan ex-combatant sample Index of group identification (0-3) Felt allegiance to the violent group (0-3) Felt like an important part of their unit (0-3) Preferred to stay in the violent group (0-3) Index of violence perpetrated (0-1) Harmed a loved one on behalf of the LRA Supports the use of violence in everyday life (0-1) Forced to abuse the bodies of dead persons Forced to betray a family member or friend Index of violence personally experienced (0-1) Index of violence experienced by loved ones (0-1) Index of violence witnessed (0-1) Index of violence in LRA unit (0-3) Time spent in the LRA (months) Age at longest abduction Number of years since returning from LRA Allowed to keep/sleep with the gun in LRA Ever rewarded for job well done in LRA Held rank or led other soldiers in LRA Received indoctrination in LRA Mean 1.15 (0.73) 1.18 (1.24) 1.79 (1.19) 0.45 (0.99) 0.14 (0.23) 17% 0.18 (0.23) 26% 9% 0.56 (0.24) 0.41 (0.27) 0.75 (0.18) 1.06 (0.59) 14.80 (17.91) 16.49 (4.69) 4.11 (3.09) 53% 6% 23% 46% N 337 326 325 310 348 348 351 348 348 351 350 351 334 351 351 351 351 351 351 351 Note: This table includes descriptive statistics for the independent variable, dependent variable, and all war experience covariates used in the regression analysis for Study 2a. Observations are weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Results The mean length of abduction in Uganda was 14.8 months (sd = 17.91), and nearly all respondents reported eventually leaving the LRA by escaping (94.8% escaped, 2.7% were released, and 2.3% were rescued). However, when respondents were asked to report their level of group identification while they were with the LRA, identification was relatively high (mean = 1.15, sd = 0.73). Nearly three-quarters reported that they felt like 23 VIOLENCE AND GROUP IDENTIFICATION an important part of their unit either “rarely,” “sometimes,” or “often.” Additionally, about half reported that they felt allegiance to Kony and the LRA at least “rarely,” “sometimes,” or “often.” Extreme violent behavior was also not uncommon in this sample. Figure 1 shows the percentage of respondents in the sample who reported engaging in each of the six violent behaviors while they were with the LRA (see Table 2 for more descriptive statistics). Percentage of Sample 30 20 10 0 a Be iv tc n ilia ilia Ki iv ll c n ldi Ki o ll s er at Be ed lov e on ll Ki ne do e lov pe Ra Figure 1: Percentage of Ugandan LRA ex-combatants who reported engaging in each violent act. Percentages are weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). 24 VIOLENCE AND GROUP IDENTIFICATION Association between perpetrating violence and group identification. First we test whether there is a positive association between perpetrating violence and group identification, replicating the results from Study 1 in this different sample and context. As shown in Figure 2, engaging in violent behavior is positively associated with group identification, even though all individuals in this sample were abducted into the LRA (see Appendix 4 Table 2 for full regression results). The relationship between perpetrating violence and group identification remains statistically significant with and without the inclusion of pre-war household and other war experience covariates (β=0.607, CI=0.184 – 1.029, p=0.005 with covariates; β=0.728, CI=0.381 –1.074, p=0.000 without covariates). Does perpetrating violence increase group identification? Next, we test whether quasi-random assignment to violent behavior – harming loved ones on behalf of the LRA – increases identification with the violent group. As shown in Figure 2, engaging in violent behavior against family members or friends significantly increases identification with the LRA, compared to being in the LRA but not engaging in violence against loved ones (β=0.331, CI=0.105 – 0.556, p=0.004 with covariates; β= 0.389, CI=0.191 – 0.587, p = 0.000 without covariates; see Appendix 4 Table 2 for regression results, with and without covariates). 25 VIOLENCE AND GROUP IDENTIFICATION 3 Group Identification (0−3) Group Identification (0−3) 3 2 1 2 ● 1 ● 0 0 1 2 3 4 5 Number of Violent Acts Perpetrated 6 Did not harm loved ones Harmed loved ones Figure 2: Perpetrating violence on behalf of the LRA increases group identification. In the first panel, the black line shows predicted values from a weighted least squares regression using the number of violent acts perpetrated to predict group identification, controlling for individual differences in pre-war household characteristics and war experiences, as well as for location of the survey and year of abduction. The regression is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). The shaded area is the 95% confidence interval around the predicted values. The second panel shows predicted values and 95% confidence intervals from a weighted least squares regression estimating the effect of harming loved ones on group identification, with the same set of controls and weights. Discussion Study 2a shows that perpetrating violence is positively associated with group identification among a sample of abductees in Northern Uganda, and provides evidence 26 VIOLENCE AND GROUP IDENTIFICATION of a causal relationship between violent behavior – harming loved ones on behalf of the LRA – and heightened group identification. This is a particularly remarkable finding in the context of Northern Uganda since all ex-combatants in the sample were abducted into the LRA. Yet these individuals still exhibit the predicted effect that perpetrating violence increases identification with the LRA, a group they likely despised prior to their abduction. We can also feel confident that this is not solely a feature of the extreme situation of abduction and forced violence against family members in Uganda, since the same pattern of results emerged in the Study 1 context in which many combatants joined their group willingly and violence against loved ones was a rare event. One alternative explanation for these findings is that greater exposure to violence more generally may increase group identification. In the next study, we explore this alternative explanation by testing whether different types of exposure to violence are associated with increased group identification. Study 2b: Exposure to Violence and Group Identification Previous research has shown that high levels of identification with any kind of group occur most frequently in contexts where individuals are reminded of uncertainty and mortality (Castano, Yzerbyt, Paladino, & Sacchi, 2002; Hogg, Hohman, & Rivera, 2008). In particular, when individuals are confronted with the threat of their own mortality, they cling to their ingroup (Castano, 2004). Thus, it is possible that the positive association between perpetrating violence and group identification found in Studies 1 and 2a is actually part of a broader phenomenon in which greater exposure to violence heightens group identification. We test this idea in Study 2b by examining the association between different types of exposure to violence and identification with the LRA. 27 VIOLENCE AND GROUP IDENTIFICATION Description of Key Variables Exposure to violence. As independent variables, we use three indices of exposure to violence: violence personally experienced (8 items), violence personally witnessed (7 items), and violence in the respondent's LRA unit (5 items). The violence personally experienced index includes questions such as: “Someone shot bullets at you or your home” and “You received a severe beating to the body by someone.” Respondents indicated whether each of the 8 items ever happened to them, and then responses to all of the questions were averaged to create the index. The violence personally witnessed index includes questions such as: “You witnessed a killing” and “You witnessed the setting of houses on fire with people inside.” Respondents indicated whether each of the 7 items ever happened to them, and then responses to all of the questions were averaged to create the index. Finally, the index of violence in LRA unit measures how often one’s particular unit engaged in different kinds of violence, including questions such as: “Did the fighters in your unit ever mutilate civilians, such as cutting off their limbs, lips, noses or ears?” and “When new abductees arrived, were other abductees ever forced to beat or kill them?” Responses were measured on a four-point scale of frequency ranging from “never” to “often,” and answers to the five questions were averaged to create the index. A full list of the items that make up these indices can be found in Appendix 2. Violent behavior. In this study, we compare exposure to violence to the same violent behavior index used in Study 2a, an index of six types of violent acts that an individual may have perpetrated on behalf of the LRA. 28 VIOLENCE AND GROUP IDENTIFICATION Group identification and covariates. The dependent variable in this study is the same group identification index described in Study 2a. We also control for the same set of war experience and pre-war household covariates, as well as for location of the survey and year of abduction. Results Exposure to violence and group identification. Exposure to violence is not statistically significantly related to group identification in this sample of former combatants from Northern Uganda (see Figure 3). Personally experiencing violence and violence in one’s LRA unit are negatively but not statistically significantly associated with group identification (β=-0.347, CI= -0.771 – 0.078, p=0.109 for violence personally experienced; β=-0.076, CI= -0.230 – 0.079, p=0.337 for violence in LRA unit; see Appendix 4 Table 4 for full regression results). Personally witnessing violence is positively but not statistically significantly associated with group identification (β=0.359, CI= -0.159 – 0.877, p=0.173). Additionally, we tested whether this finding replicates in the sample of former combatants from Liberia, and consistent with the results from Uganda we find that personally experiencing violence and witnessing violence are not statistically significantly related to group identification (β=0.049, CI= -0.268 – 0.366, p=0.761 for violence personally experienced; β=0.169, CI= -0.074 – 0.412, p=0.172 for violence personally witnessed). 29 Group Identification (0−3) VIOLENCE AND GROUP IDENTIFICATION 3 3 2 2 1 1 0 1 2 3 4 5 6 0 Group Identification (0−3) Violent Acts Perpetrated 3 3 2 2 1 1 0 1 2 Violence in LRA Unit 2 4 6 8 Violence Personally Experienced 3 0 1 2 3 4 5 6 Violence Witnessed Figure 3: Perpetration of violence, not exposure to violence, is positively associated with group identification. Black lines are predicted values from a weighted least squares regression estimating the effect of exposure to violence on group identification, controlling for individual differences in pre-war household characteristics and war experiences, as well as for location of the survey and year of abduction. The regression is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). The shaded areas are 95% confidence intervals around the predicted values. 30 VIOLENCE AND GROUP IDENTIFICATION Discussion In this study, we show that exposure to violence is not positively associated with group identification, ruling out the alternative explanation that the positive association between violent behavior and group identification found in Studies 1 and 2a is driven by exposure to violence more generally. Perpetration of violence seems to be necessary for violence to lead to heightened identification with the violent group. While Studies 1 and 2 have demonstrated that perpetrating violence on behalf of one’s group is positively associated with group identification, they have not yet provided insight into the mechanisms through which perpetrating violence increases group identification. In the next study, we use this same dataset of ex-combatants from Northern Uganda to examine whether feelings of distress after violent behavior play a role in heightened group identification. Study 3: Personal Responsibility for Harm and Group Identification As discussed above, the physical act of perpetrating violence tends to be an aversive experience that leads to physiological distress (Cushman, Gaffey, Gray, & Berry Mendes, 2012; Navarrete et al., 2012). One theorized mechanism is that individuals reduce their violence-induced distress by increasing their identification with the violent group, thus justifying their violent behavior. While the ideal test of this mechanism would involve measuring distress immediately after an individual engages in violent behavior, this is nearly impossible when studying the perpetration of extreme violence outside of the lab. However, it is still possible to explore this mechanism based on accumulated knowledge from previous research showing what types of behaviors are most likely to induce dissonance. 31 VIOLENCE AND GROUP IDENTIFICATION According to cognitive dissonance research, individuals are more likely to experience distress when they feel a sense of personal responsibility for the consequences of their behavior (Collins & Hoyt, 1972; Cooper & Fazio, 1984). Even when an individual does not actively choose to engage in a behavior, such as an abductee being forced to harm a loved one by their LRA commander, they can experience dissonance when they feel a sense of personal responsibility for their actions (Cooper, 1971). For example, in a study using a virtual reality set-up to create an immersive experience of the classic trolley problem, participants exhibited more physiological distress when they felt personally responsible for sacrificing the life of one person in order to save five other people than when they achieved the same outcome but did not feel a sense of personal responsibility (Navarrete et al., 2011). In this study, we provide evidence for a distress-based mechanism by comparing the effect of perpetrating violence to other wartime behaviors that are similarly aversive but involve less personal responsibility for the victim’s suffering or death. When an individual has their own finger on the trigger, and the consequences of their actions are severe, it becomes difficult to absolve oneself of responsibility for the harm. This remains true even if another individual gives the order to carry out the violent act. Thus, in the extreme case of an abductee beating or killing a family member or friend, the individual would likely still feel a sense of personal responsibility for their actions and the harm they caused to their loved ones. In line with past research, we would expect the direct perpetration of violence to induce distress, which the individual would be motivated to justify. 32 VIOLENCE AND GROUP IDENTIFICATION In this study, we compare perpetrating violence to the following two behaviors: abusing dead bodies and betraying loved ones, leading to their possible injury or death. While both abusing dead bodies and betraying loved ones are highly aversive behaviors, they involve less personal responsibility for the victim’s pain and suffering than the direct perpetration of harm. In both cases, the abductee does not have their own finger on the trigger; they are not directly harming the victim. While abusing a dead body is considered to be a taboo in Northern Uganda and would likely be an extremely negative experience, the fact remains that the abductee is not responsible for killing the victim. In the case of betrayal, the abductee may not be sure whether any harm resulted from their actions. Even if harm does occur, they are not directly responsible for the victim’s injuries. Under these conditions, it is easier for the abductee to put at least some of the responsibility for the harm on their commander. Therefore the behavior is not likely to induce such high levels of distress as the direct perpetration of violence, and the abductee will not need to justify their behavior by increasing their identification with the LRA (Bandura, 1999). Description of Key Variables Harming dead bodies and betrayal. For the independent variables in this study, we use survey questions regarding whether the respondent (the abductee) was ever forced to step on or otherwise abuse the bodies of dead persons (26% engaged in this behavior while with the LRA), and whether they were forced to betray a family member or friend, placing them at risk of death or injury (9% engaged in this behavior). Violent behavior. The third independent variable in this study, violent behavior, is the same indicator used in Study 2a for whether the respondent ever harmed a loved one, either killing or beating a family member or friend. 33 VIOLENCE AND GROUP IDENTIFICATION Group identification and covariates. The dependent variable is the same group identification index described in Study 2a. Additionally we control for the same set of war experience and pre-war household covariates, as well as for location of the survey and year of abduction. Results Betrayal, abusing dead bodies, and group identification. In this study we compare the effect of behaviors that involve a sense of personal responsibility over the consequences of one’s actions, which are theoretically expected to induce more distress, to those that do not involve a sense of personal responsibility. As shown in Figure 4, only the direct perpetration of harm (killing or beating loved ones) is associated with a significant increase in level of identification with the LRA (β=0.331, CI= 0.105 – 0.556, p=0.004; see Appendix 4 Table 5 for regression results). As predicted, betraying a family member or friend, leading to the risk of injury or death, is not associated with heightened group identification (β=-0.160, CI= -0.474 – 0.153, p=0.315). Abusing dead bodies is associated with a marginally significant decrease in group identification (β=-0.205, CI= 0.420 – 0.009, p=0.061). 34 Group Identification (0−3) VIOLENCE AND GROUP IDENTIFICATION 3 3 3 2 2 2 ● 1 ● ● ● 1 ● 0 0 Did not harm loved ones Harmed loved ones 1 ● 0 Did not betray loved ones Betrayed loved ones Did not abuse dead bodies Abused dead bodies Figure 4: Behaviors that involve direct, not indirect, personal responsibility for harm increase identification with the violent group. Point estimates are predicted values from a weighted least squares regression estimating the effects of direct harm, indirect harm, and abusing dead bodies on group identification, controlling for individual differences in pre-war household characteristics and war experiences, as well as for location of the survey and year of abduction. The regression is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Error bars are 95% confidence intervals. Discussion While it is impossible to directly measure the level of distress that these former combatants experienced when they harmed others on behalf of the LRA, we find that only violent behaviors that involve feelings of personal responsibility over the harmful consequences – behaviors that are theoretically expected to induce greater levels of dissonance (Collins & Hoyt, 1972; Cooper & Fazio, 1984) – are positively related to group identification. These findings provide suggestive evidence for the mechanism that 35 VIOLENCE AND GROUP IDENTIFICATION heightened group identification is serving as a justification for the distress individuals experience when harming others on behalf of their violent group. General Discussion In this series of studies, we tested the idea that when individuals perpetrate violence on behalf of a group, they will increase their identification with the violent group. We tested this proposition in a set of enormously consequential real world cases, using archival data from surveys with former combatants in Liberia and Northern Uganda. In the context of Liberia, where many combatants joined their violent group willingly, the data show a positive association between perpetrating violence and group identification. In the context of Uganda, where all respondents were abducted into the LRA and some abductees were quasi-randomly assigned to perpetrate violence against loved ones while others were not, perpetrating violence increased identification with the LRA. Exploring the Mechanisms Justifying violence through group identification. In Study 3, we provided suggestive evidence for a dissonance-based mechanism; individuals feel distress when they perpetrate violence, and they reduce this distress by increasing their identification with the violent group, thus justifying the violence. An implication of this mechanism is that individuals may not need to become more supportive of violence in order to reduce their distress. In other words, individuals may continue to engage in the aversive violent behavior over time without changing their attitude or moral judgment about the behavior itself. Instead, they can justify their continued perpetration of violence by conceptualizing 36 VIOLENCE AND GROUP IDENTIFICATION it is a necessary “evil,” crucial to achieving their group’s goals or to ensuring the survival of their ingroup. In the case of violent behavior, this point has important implications for issues of ex-combatant reintegration and post-conflict reconstruction. If individuals have not become more supportive of harming others while perpetrating violence (i.e., they still hold the general attitude that harming others is undesirable), then interventions need not focus on changing attitudes surrounding violence. Instead, interventions should focus on helping individuals to disidentify from their violent group and to develop productive alternative social identities that promote peaceful resolution to problems. This point should also be true more broadly for other violent or antisocial groups. Disidentification with other social groups. We theorized an additional – and likely complementary – mechanism that we were not able to test given the limitations of these archival datasets; engaging in violent behavior on behalf of a group increases identification with the violent group through its negative consequences on the individual’s other group memberships. While we were not able to test this mechanism using the archival dataset from Uganda, we would like to highlight a popular radio program developed by a station in Gulu, the largest town in Northern Uganda, which suggests this mechanism was at play. In December 2003, the radio station 102 Mega FM launched a program known locally as “Dwog Paco,” which translates to “Come Back Home.” The show features former LRA combatants who come on the air and talk about their experiences while with the LRA. Importantly, these former combatants appeal to individuals who are still out there with the LRA, assuring them that they will not be killed if they surrender, and that they will receive forgiveness from their communities 37 VIOLENCE AND GROUP IDENTIFICATION (Palmer, 2004). As one former child soldier described: “When I started listening to my fellow colleagues whom we were in the bush with [Sudan], it gave me the confidence to come back and join my friends at home” (Otim, 2009, p. 2). The program was so successful in encouraging combatants to leave the LRA that commanders attempted to ban junior soldiers from listening to the radio (Kimani, 2007; Otim, 2009). Implications of Increased Group Identification The finding that violent behavior increases group identification has important implications for future violent behavior and may help to explain cycles of intergroup conflict over time. As discussed earlier, heightened identification with one’s group can motivate individuals to engage in violent behavior on behalf of the group. If perpetrating violence increases group identification, then individuals who engage in violent behavior are expected to become more willing to engage in future violent behavior, suggesting a cycle of violence and group identification (Littman & Paluck, 2015). This also helps to explain in part how low identifiers, such as those forced to join a group through conscription or abduction, can eventually become high identifiers who are willing to harm others on behalf of their group. Perpetrating violence – in and of itself – may help trigger this process from reluctant or opportunistic joiner to loyal group member. As for patterns of intergroup conflict over time, social identities are particularly salient in contexts of conflict, and serve as a strong influence over combatants’ decision to follow or flout humanitarian law (Castano, Leidner, & Slawuta, 2008). Additionally, group identification influences perceptions of responsibility for conflict and the magnitude of harm experienced by the groups involved in conflict; stronger group identifiers tend to attribute more responsibility for the instigation and consequences of 38 VIOLENCE AND GROUP IDENTIFICATION violent conflict to the outgroup, while also perceiving that more harm has been inflicted on the ingroup and less on the outgroup (Bilali, Tropp, & Dasgupta, 2012). Glorification of the ingroup, an element of group identification, also leads to increased dehumanization of the victims of violence and influences decisions about the punishment of perpetrators and reparations to victims (Castano, 2008; Leidner, Castano, Zaiser, & Giner-Sorolla, 2010). Limitations and Future Directions All of the data used in these studies are based on self-report, which may be subject to desirability bias and underreporting of sensitive behaviors and attitudes (Blattman & Miguel, 2010). These studies also use retrospective surveys, in which respondents are asked questions about their experiences in and identification with the violent group once they have already left the group. Additionally, the measures of violent behavior used in these surveys have some limitations. Ideally, the data would include information about the number of times an individual engaged in a particular violent behavior and at which point in time during their group membership the violence occurred. Considering the temporal aspect of violent behavior is important for future research because individuals may internalize the normative standards of their violent group and come to see violence as necessary and virtuous (Fiske & Rai, 2014; Reicher, Halsam, & Rath, 2008). Individuals may also become physiologically desensitized to violence over time (Carnagey, Anderson, & Bushman, 2007; Engelhardt, Batholow, Kerr, & Bushman, 2011), and therefore not feel as much distress or arousal when perpetrating violence. Under these conditions, engaging in violent behavior may no longer induce 39 VIOLENCE AND GROUP IDENTIFICATION distress. However, the prevalence of posttraumatic stress disorder in former members of violent groups (e.g., Cesur, Sabia & Tekin, 2013; MacNair, 2002; Maguen et al., 2009) suggests that violent behavior may never be fully justified and may continue to induce feelings of distress over time. Another avenue for future research is to explore how violent behavior relates to different dimensions of group identification. The questions used in this research tap into a number of elements of group identification, including: enjoyment, belief in the group, allegiance to the group and its leader, a desire to stay in the group, and feeling like an important member of the group. When analyzing the items separately, all but a desire to stay in the group show a positive association with perpetrating violence (see Appendix 4 Tables 1 & 3). While we believe it is a strength of the paper that the association between violence perpetrated and group identification emerges when using questions that tap into these different elements of identification, future work should carefully design questionnaires to measure theoretically-derived constructs such as ingroup attachment and glorification. Given the inherent limitations of correlational and quasi-experimental research, future work should attempt to build on this survey data from former combatants to explore the relationship between violent behavior and group identification in an experimental setting in which perpetration of violence can be randomly assigned and mechanisms can be tested in more depth. However, it may be difficult – if not impossible – to explore this research question in the lab. Researchers cannot ethically ask participants to engage in intentional interpersonal harm that causes bodily injury or death. Instead they can have participants simulate harm or engage in much less extreme versions 40 VIOLENCE AND GROUP IDENTIFICATION of aggressive behavior or social and psychological harm. The underlying psychology may be different when engaging in these permissible actions as opposed to extreme violence on behalf of an actual violent group. In conclusion, this series of studies shows how to pose theoretically driven psychological questions of difficult to study phenomena in the world, such as war violence, using archival data. We find that perpetrating violence on behalf of a violent group increases group identification, even among a sample of individuals who were abducted into a group they despised and forced to carry out heinous acts of violence against loved ones. Thus, violent behavior can trigger group identification, leading to cycles of future violence and intergroup conflict. 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More info can be found at http://www.poverty-action.org/study/ex-combatant-reintegration-liberia. It is important to note that the respondents in this sample represent a subset of the population of former combatants in Liberia; all of them expressed interest in attending a residential agricultural training program, many of them were engaged in illicit economic activities at the time of the survey, and 73% did not go through Liberia's formal reintegration process after the war. Therefore, the results may not generalize to a broader population of former combatants. Also, the measure of violent behavior used in this analysis is not very precise, as respondents simply reported whether they engaged in none, few, some, or plenty violent acts. Former combatants may interpret this question in different ways depending on their experience with violence. Uganda Dataset For the Uganda ex-combatant dataset, the surveys were conducted as part of the Survey of War Affected Youth (SWAY) Uganda in the Kitgum and Pader districts of northern Uganda between September 2005 and March 2006. The data was collected in face-to-face interviews by trained Ugandan researchers in Luo, the local language spoken in Northern Uganda. More information about SWAY Uganda, including sampling 51 VIOLENCE AND GROUP IDENTIFICATION procedures, survey instrument, and raw data, is available at http://chrisblattman.com/data/sway/. 52 VIOLENCE AND GROUP IDENTIFICATION Appendix 2: Survey Questions in Violence Exposure Indices Liberia Dataset Index of Violence Personally Experienced: 1. Did someone shoot bullets at you? 2. Did someone attack you with a cutlass or other weapon? 3. Were you forced to have sex with someone? 4. Were you on the frontline or witness battles? 5. Did someone you know betray you or point you out to soldiers? 6. Did you receive a serious beating to the body by non-family members? 7. Did you receive a serious physical injury in a battle or attack? Index of Violence Witnessed: 1. Did you see someone get beaten or tortured? 2. Did you see someone get killed? 3. Did you see someone forced to have sex with someone else? Index of Violence Experienced by Loved Ones: 1. Was your wife or husband killed during the war? 2. Was your child killed during the war? 3. Was another family member or close friend killed? 4. Did a family member die without proper burial? 5. Did you lose the person who was supporting you? Uganda Dataset Index of Violence Personally Experienced: 1. Someone took or destroyed your personal property 53 VIOLENCE AND GROUP IDENTIFICATION 2. Someone shot bullets at you or your home 3. You received a severe beating to the body by someone 4. Someone attacked you with a panga or other weapon 5. You were tied up or locked up as a prisoner 6. You received a serious physical injury in a battle or rebel attack 7. You were forced to carry heavy loads or do other forced labor 8. Someone you know betrayed you and put you at risk of death or injury Index of Violence Experienced by Loved Ones: 1. A parent was murdered or died violently 2. A parent disappeared or was abducted 3. Another family member or friend was murdered or died violently 4. Another family member or friend disappeared or was abducted 5. A family member received a serious physical injury from combat or a landmine Index of Violence in Respondent’s LRA Unit: 1. When new abductees arrived in this unit, were they ever beaten? If yes: often, sometimes, or rarely? 2. When new abductees arrived, were other abductees ever forced to beat or kill them? If yes: often, sometimes, or rarely? If yes: often, sometimes, or rarely? 3. Did the fighters in your unit ever mutilate civilians, such as cutting off their limbs, fingers, lips, noses or ears? If yes: often, sometimes, or rarely? 4. Were abductees in your unit ever forced to desecrate dead bodies? If yes: often, sometimes, or rarely? 5. Were abductees in your unit ever forced to carry body parts? If yes: often, 54 VIOLENCE AND GROUP IDENTIFICATION sometimes, or rarely? Index of Violence Personally Witnessed: 1. You heard gun fire regularly 2. You witnessed an attack by the LRA or battle with UPDF 3. You witnessed beatings or torture of other people 4. You witnessed a killing 5. You witnessed a massacre 6. You witnessed the setting of houses on fire with people inside 7. You witnessed the rape or sexual abuse of a woman Attitudes toward the Use of Violence in Everyday Life: 1. If a man insulted your neighbor, would it be acceptable for your neighbor to seriously beat him? 2. If a man was caught stealing from one of your neighbors, would it be acceptable for your neighbor to seriously beat him? 3. If a man’s wife were to burn his supper, would it be acceptable for him to beat her? 4. If a man’s wife were to argue with him or talk back, would it be acceptable for him to beat her? 55 VIOLENCE AND GROUP IDENTIFICATION Appendix 3: Quasi-Random Assignment to Family Violence To assess whether being forced to harm a loved one is quasi-random, we first compare unconditional and conditional differences in means on pre-war household characteristics between abductees who were forced to perpetrate violence against loved ones, and those who were not forced to do so. As shown in Appendix 3 Table 1, the only pre-war household variable that is significantly related to forced violence when looking at the conditional means is household size in 1996. Those with larger households were less likely to be forced to perpetrate violence against family and friends, potentially because larger households were more likely to be able to fight back. Appendix 3 Table 1: Difference in means between respondents who harmed loved ones and those who did not harm loves ones Pre-treatment Covariate Age Father was a farmer in 1996 (0/1) Household size in 1996 Landholdings in 1996 In the top 10% of landholdings (0/1) Number of cattle in 1996 Number of other livestock in 1996 Owned a plow in 1996 (0/1) Father was uneducated (0/1) Father's years of schooling Mother was uneducated (0/1) Mother's years of schooling Father died before 1996 (0/1) Mother died before 1996 (0/1) Orphaned before 1996 Unconditional Means Conditional Means -1.47 [0.74]* 0.00 [0.05] -1.24 [0.53]* 12.27 [5.63]* 0.19 [0.07]** 7.14 [6.52] 1.20 [4.71] -0.09 [0.11] -0.01 [0.04] 0.25 [0.50] -0.04 [0.11] 0.38 [0.49] 0.10 [0.08] 0.01 [0.05] -0.01 [0.02] -0.652 [0.63] 0.00 [0.04] -1.40 [0.50]** -0.13 [1.95] 0.04 [0.02] 5.23 [7.18] 1.18 [2.30] -0.01 [0.06] -0.03 [0.04] -0.46 [0.38] 0.01 [0.03] 0.13 [0.16] 0.06 [0.07] 0.04 [0.05] -0.02 [0.03] Note: Observations are weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). 56 VIOLENCE AND GROUP IDENTIFICATION Next, we calculate the predicted probability that an abductee was forced to perpetrate violence against family or friends based on pre-war data, using a logistic regression of forced violence on indicators for year and location of birth, as well as prewar household characteristics. Consistent with the analysis in Blattman & Annan (2010a) showing that abduction is quasi-random, we plot the distribution of predicted probabilities of forced violence against family or friends based on pre-war data. Predicted probabilities come from a logistic regression of forced violence on indicators for year and camp of birth, as well as pre-war household characteristics. As shown Appendix 3 Figure 1, the predicted probabilities for those forced to perpetrate violence against loved ones and those who did not perpetrate violence against loved ones overlap a great deal. The difference in the two distributions of predicted probabilities is driven exclusively by year and location of birth. Including other pre-war household covariates in the model does not significantly alter the distributions. These findings are consistent with Blattman & Annan’s (2010a) results for abducted vs. non-abducted respondents, suggesting that forced violence against family members and friends is similarly quasi-random. 57 VIOLENCE AND GROUP IDENTIFICATION Family Violence 10 5 0 % of Respondents 15 No Family Violence 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1 0 .1 .2 .3 .4 .5 .6 .7 .8 .9 1 Predicted Probability of Forced Violence Age & location dummies only All pre-treatment covariates Appendix 3 Figure 1. Predicted probability of forced violence against loved ones. Observations are weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). 58 VIOLENCE AND GROUP IDENTIFICATION Appendix 4: Regression Tables Appendix 4 Table 1: Perpetrating violence and group identification in Liberia (1) Index of group identification (2) Index of group identification (3) Enjoyed being a member (4) Enjoyed being a member (5) Really believed in the group 0.304** [0.108] 0.049 [0.161] 0.273* [0.110] 0.372** [0.114] 0.063 [0.173] 0.330** [0.115] 0.236* [0.118] 0.035 [0.179] VARIABLES Index of Violence Perpetrated (0-1) Index of violence personally experienced (0-1) Index of violence witnessed (0-1) Index of violence experienced by loved ones (0-1) Log of length of time in violent group Age when joined violent group Carried a gun while in violent group On the frontlines while in violent group Main role in violent group was as a soldier Held rank in violent group Held leadership position in violent group Abducted into violent group Age of respondent Gender of respondent Christian Ethnic group: Gola Ethnic group: Kpelle 0.169 [0.124] -0.203 [0.160] 0.197 [0.137] -0.322 [0.169] 0.142 [0.137] -0.085 [0.175] 0.101** [0.035] -0.092*** [0.024] -0.035 [0.096] 0.040 [0.098] 0.098** [0.038] -0.109*** [0.028] -0.076 [0.101] 0.042 [0.109] 0.105** [0.039] -0.075*** [0.022] 0.005 [0.103] 0.038 [0.110] 0.226* [0.088] 0.223* [0.092] 0.229* [0.097] 0.144 [0.117] 0.273** [0.104] 0.106 [0.125] 0.274* [0.111] 0.181 [0.129] 0.272* [0.115] -0.674*** [0.073] 0.081*** [0.024] 0.012 [0.108] -0.012 [0.080] -0.351** [0.119] -0.040 [0.080] -0.679*** [0.079] 0.100*** [0.027] -0.005 [0.108] -0.020 [0.087] -0.341** [0.126] -0.053 [0.085] -0.668*** [0.080] 0.062** [0.022] 0.029 [0.127] -0.003 [0.089] -0.360* [0.140] -0.027 [0.088] (6) Really believ ed in the group 0.216 [0.119] 59 VIOLENCE AND GROUP IDENTIFICATION Ethnic group: Kru Ethnic group: Mano Ethnic group: Sapo 0.148 [0.130] -0.152 [0.127] 0.432** [0.152] 0.156 [0.139] -0.124 [0.136] 0.524** [0.167] Observations 1,054 1,074 1,054 1,074 R-squared 0.546 0.439 0.503 0.403 Note: Robust standard errors are in brackets. *** p<0.001, ** p<0.01, *p<0.05. 0.140 [0.141] -0.181 [0.139] 0.341* [0.167] 1,054 0.503 1,074 0.406 60 VIOLENCE AND GROUP IDENTIFICATION Appendix 4 Table 2: Perpetrating violence and group identification in Uganda (1) Index of group identification (2) Index of group identification (3) Index of group identification (4) Index of group identification Index of Violence Perpetrated (0-1) 0.607** [0.215] 0.728*** [0.176] --- --- Ever harmed a loved one on behalf of the LRA (0/1) --- --- 0.331** [0.115] -0.339 [0.214] 0.461 [0.257] -0.052 [0.079] 0.391* [0.163] -0.205 [0.109] -0.160 [0.159] 0.030 [0.052] -0.121* [0.056] -0.014 [0.033] 0.332** [0.111] 0.210 [0.206] 0.234 [0.161] 0.247* [0.096] 0.111* [0.056] 0.021 [0.011] -0.038 [0.020] -0.196* [0.091] 0.074 [0.145] 0.389*** [0.100] VARIABLES Index of violence personally experienced (0-1) Index of violence witnessed during the war (0-1) Index of violence in LRA unit (03) Index of violence experienced by loved ones (0-1) Forced to step on or abuse dead bodies (0/1) Forced to betray a family member or friend (0/1) Log of length of time in violent group Age when joined violent group Years since returning from violent group Carried a gun while in violent group (0/1) Ever rewarded for a job well done (0/1) Ever held rank in LRA or led other soldiers (0/1) Received indoctrination in LRA (0/1) Age of respondent Father’s years of education Mother’s years of education Father died before start of the war (1996 or earlier) Mother died before start of the war (1996 or earlier) -0.347 [0.216] 0.359 [0.263] -0.076 [0.079] 0.340* [0.173] -0.230* [0.111] -0.154 [0.156] 0.028 [0.051] -0.124* [0.058] -0.015 [0.033] 0.296** [0.109] 0.200 [0.207] 0.262 [0.162] 0.250* [0.096] 0.116* [0.057] 0.019 [0.011] -0.033 [0.019] -0.207* [0.091] 0.072 [0.144] 61 VIOLENCE AND GROUP IDENTIFICATION Father was a farmer in 1996 Household land in 1996 (acres) Household size in 1996 Number of cattle in 1996 Number of livestock in 1996 Number of plows in 1996 0.057 [0.138] 0 [0.002] -0.008 [0.014] 0.001 [0.001] -0.003 [0.002] 0.060 [0.111] 0.064 [0.138] 0 [0.002] -0.007 [0.014] 0.001 [0.001] -0.003 [0.002] 0.060 [0.112] Observations 331 334 331 334 R-squared 0.807 0.757 0.807 0.754 Note: The regression also controls for location of the survey and year of abduction. It is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Robust standard errors are in brackets. *** p<0.001, ** p<0.01, * p<0.05. 62 VIOLENCE AND GROUP IDENTIFICATION Appendix 4 Table 3: Perpetrating violence and the dimensions of group identification in Uganda (1) Allegiance to the LRA and its leader (2) Felt like important part of unit (3) Wanted to stay in the LRA and not escape Ever harmed a loved one on behalf of the LRA (0/1) 0.486* [0.198] 0.390* [0.193] Index of violence personally experienced (0-1) -0.466 [0.412] 0.816 [0.484] -0.199 [0.146] -0.495 [0.311] -0.222 [0.187] -0.157 [0.231] 0.168* [0.078] -0.004 [0.088] 0.049 [0.042] 0.108 [0.187] 0.788* [0.368] 0.075 [0.249] -.223 [0.167] -0.003 [0.089] -0.012 [0.022] -0.022 [0.032] -0.267 [0.158] 0.034 [0.224] -0.010 [0.410] 0.013 [0.157] -0.243 [0.359] 0.383 [0.409] -0.017 [0.104] 0.344* [0.236] -0.123 [0.140] -0.091 [0.205] 0.014 [0.074] -0.173* [0.073] -0.058 [0.047] 0.264 [0.154] 0.382 [0.305] -0.251 [0.225] 0.314* [0.142] 0.177* [0.074] 0.054** [0.019] -0.055* [0.025] -0.302* [0.124] 0.220 [0.246] VARIABLES Index of violence witnessed during the war (0-1) Index of violence in LRA unit (03) Index of violence experienced by loved ones (0-1) Forced to step on or abuse dead bodies (0/1) Forced to betray a family member or friend (0/1) Log of length of time in violent group Age when joined violent group Years since returning from violent group Carried a gun while in violent group (0/1) Ever rewarded for a job well done (0/1) Ever held rank in LRA or led other soldiers (0/1) Received indoctrination in LRA (0/1) Age of respondent Father’s years of education Mother’s years of education Father died before start of the war (1996 or earlier) Mother died before start of the war (1996 or earlier) 0.024 [0.441] 0.037 [0.130] 1.078*** [0.293] -0.309 [0.197] -0.283 [0.294] -0.047 [0.086] -0.137 [0.088] -0.018 [0.056] 0.637*** [0.186] -0.436 [0.302] 0.814 [0.284]** 0.617*** [0.159] 0.117 [0.088] 0.030 [0.022] -0.030 [0.033] -0.133 [0.161] 0.029 [0.254] 63 VIOLENCE AND GROUP IDENTIFICATION Father was a farmer in 1996 Household land in 1996 (acres) Household size in 1996 Number of cattle in 1996 Number of livestock in 1996 Number of plows in 1996 0.029 [0.260] -0.002 [0.003] -0.042 [0.021] 0.001 [0.002] 0.003 [0.005] -0.289 [0.180] -0.159 [0.216] 0 [0.002] 0.001 [0.020] 0.002 [0.002] -0.005 [0.004] 0.038 [0.191] 0.279 [0.171] 0.002 [0.002] 0.014 [0.022] -0.001 [0.001] -0.006 [0.003] 0.472** [0.162] Observations 331 334 331 R-squared 0.807 0.757 0.807 Note: The regression also controls for location of the survey and year of abduction. It is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Robust standard errors are in brackets. *** p<0.001, ** p<0.01, * p<0.05. 64 VIOLENCE AND GROUP IDENTIFICATION Appendix 4 Table 4: Exposure to violence and group identification in Uganda VARIABLES Index of Violence Perpetrated (0-1) Index of violence personally experienced (0-1) Index of violence witnessed during the war (0-1) Index of violence in LRA unit (0-3) Index of violence experienced by loved ones (0-1) Forced to step on or abuse dead bodies (0/1) Forced to betray a family member or friend (0/1) Log of length of time in violent group Age when joined violent group Years since returning from violent group Carried a gun while in violent group (0/1) Ever rewarded for a job well done (0/1) Ever held rank in LRA or led other soldiers (0/1) Received indoctrination in LRA (0/1) Age of respondent Father’s years of education Mother’s years of education Father died before start of the war (1996 or earlier) Mother died before start of the war (1996 or earlier) Father was a farmer in 1996 (1) Index of Group Identification (2) Index of Group Identification 0.607** [0.215] -0.347 [0.216] 0.359 [0.263] -0.076 [0.079] 0.340* [0.173] -0.230* [0.111] -0.154 [0.156] 0.028 [0.051] -0.124* [0.058] -0.015 [0.033] 0.296** [0.109] 0.200 [0.207] 0.262 [0.162] 0.250* [0.096] 0.116* [0.057] 0.019 [0.011] -0.033 [0.019] -0.207* [0.091] 0.072 [0.144] 0.057 [0.138] 0.717*** [0.201] -0.403 [0.230] 0.576* [0.277] -0.083 [0.081] 0.099 [0.184] 65 VIOLENCE AND GROUP IDENTIFICATION Household land in 1996 (acres) Household size in 1996 Number of cattle in 1996 Number of livestock in 1996 Number of plows in 1996 0 [0.002] -0.008 [0.014] 0.001 [0.001] -0.003 [0.002] 0.060 [0.111] Observations 331 331 R-squared 0.807 0.763 Note: The regression also controls for location of the survey and year of abduction. It is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Robust standard errors are in brackets. *** p<0.001, ** p<0.01, * p<0.05. 66 VIOLENCE AND GROUP IDENTIFICATION Appendix 4 Table 5: Responsibility for harm and group identification in Uganda VARIABLES Ever harmed a loved one on behalf of the LRA (0/1) Forced to step on or abuse dead bodies (0/1) Forced to betray a family member or friend (0/1) Index of violence personally experienced (0-1) Index of violence witnessed during the war (0-1) Index of violence in LRA unit (0-3) Index of violence experienced by loved ones (0-1) Log of length of time in violent group Age when joined violent group Years since returning from violent group Carried a gun while in violent group (0/1) Ever rewarded for a job well done (0/1) Ever held rank in LRA or led other soldiers (0/1) Received indoctrination in LRA (0/1) Age of respondent Father’s years of education Mother’s years of education Father died before start of the war (1996 or earlier) Mother died before start of the war (1996 or earlier) Father was a farmer in 1996 (1) Index of Group Identification 0.331** [0.115] -0.205 [0.109] -0.160 [0.159] -0.339 [0.214] 0.461 [0.257] -0.052 [0.079] 0.391* [0.163] 0.030 [0.052] -0.121* [0.056] -0.014 [0.033] 0.332** [0.111] 0.210 [0.206] 0.234 [0.161] 0.247* [0.096] 0.111* [0.056] 0.021 [0.011] -0.038 [0.020] -0.196* [0.091] 0.074 [0.145] 0.064 [0.138] (2) Index of Group Identification 0.446*** [0.108] -0.087 [0.102] -0.172 [0.152] 67 VIOLENCE AND GROUP IDENTIFICATION Household land in 1996 (acres) Household size in 1996 Number of cattle in 1996 Number of livestock in 1996 Number of plows in 1996 -0.000 [0.002] -0.007 [0.014] 0.001 [0.001] -0.003 [0.002] 0.060 [0.112] Observations 331 334 R-squared 0.807 0.756 Note: The regression also controls for location of the survey and year of abduction. It is weighted to account for respondents selected to be in the sample who could not be located, never returned from the LRA, or are no longer alive (inverse attrition and absentee probabilities). Robust standard errors are in brackets. *** p<0.001, ** p<0.01, * p<0.05. 68
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