Empirically identifying factors related to violence risk in corrections.

The authors used structural modeling to predict institutional aggression among male mentally ill offenders using the predictors of anger, antisocial personality style, current violent offense, ethnicity, and impulsivity. Measures included the Barratt Impulsiveness Scale, the Buss-Perry Aggression Questionnaire, the Personality Assessment Inventory, age, ethnicity, current violent offense, victim injury from current offense, and institutional incidents of physical and verbal aggression. The model fit the data, and accounted for 94% and 87% of the variance of physical and verbal aggression, respectively. Results indicated anger, antisocial personality style, and impulsivity are stronger predictors of institutional aggression than are ethnicity and current violent offense; anger was the best predictor. Results suggest dynamic variables such as anger can be targeted for clinical intervention to reduce institutional violence.     

Comparison of two aggression inventories

Two recently developed questionnaire measures of aggression, the Aggression Questionnaire [Buss and Perry (1992; Journal of Personality and Social Psychology 63:452–459]; and the Aggression Inventory [Gladue (1991a); Psychological Reports 68:675–684], were administered to a British sample (N=320) of men and women undergraduates. Both questionnaires contain subscales measuring physical and verbal aggression; the other scales of the Aggression Questionnaire measure anger and hostility, and those of the Aggression Inventory measure impulsiveness and avoidance of aggression. The factor structure of scales were assessed using confirmatory factor analysis. The interrelations of the subscales were calculated in both cases: anger was independently related to verbal and physical aggression and to hostility on the Aggression Questionnaire; impulsivity, and verbal and physical aggression were associated on the Aggression Inventory. Sex differences were largest on the two physical subscales, of lesser magnitude but still significantly different for the two verbal subscales, but absent for anger and hostility. This supports the hypothesis that sex differences in aggression are larger for more escalated forms of aggression. The physical and verbal subscales of the two questionnaires were each highly correlated with one another and the impulsive subscale of the Aggression Inventory highly correlated with the anger subscale of the Aggresion Questionnaire. Thus, two aggression questionnaires developed in the US not only produce similar associations between subscales and sex differences among a British undergraduate sample, but also show high correlations between their respective scales. © 1995 Wiley-Liss, Inc.     

The Aggression Questionnaire: a validation study in student samples

The goal of this study was to examine the psychometric properties of the Aggression Questionnaire (AQ) in Spain. The AQ is a 29-item instrument designed to measure the different dimensions of the hostility/anger/aggression construct. It consists of 4 subscales that assess: (a) anger, (b) hostility, (c) verbal aggression, and (d) physical aggression. In Study 1, reliability, construct validity, and convergent validity were evaluated in a group of 384 male and female university students. Test-retest reliability was evaluated using a group of 154 male and female university students. The results of the factor analysis were similar to the scale structure claimed for this instrument. The subscales also showed internal consistency and stability over time. The AQ and its subscales were also compared with the scales and subscales of the Spielberger State-Trait Anger Expression Inventory (STAXI), the Cook-Medley Hostility Scale (Ho), the Buss-Durkee Hostility Inventory (BDHI), and the Jenkins Activity Survey-Form H (JASE-H). The results show that the AQ evaluates some aspects of anger, such as Anger-Trait and Anger-Out, rather than other elements, such as Anger-In or Anger-State. In Study 2, two new male groups were used to evaluate the criterion validity of the AQ: 57 prison inmates and 93 university students, finding that this instrument discriminated between the scores obtained by common offenders and university students.     

Association between measures of aggression and bullying among juvenile and young offenders

This study addresses the relationship between aggression and behaviors indicative of bullying in a sample of incarcerated male juvenile and young offenders. The study also addresses whether or not offenders who bully others and/or are bullied themselves can be identified by the type of aggression that they report. Ninety‐five juvenile and 196 young offenders completed a self‐report behavioral checklist (DIPC: Direct and Indirect Prisoner Behavior Checklist) that addressed their experience of and involvement in behaviors indicative of bullying. They also completed the Aggression Questionnaire (AQ), a measure of physical and verbal aggression, anger and hostility. Four categories of offenders were identified from the DIPC ‐ pure bullies, pure victims, those who were both bullies and victims (bully/victims), and those not‐involved in bullying behavior. As predicted, behaviors measured on the DIPC that were indicative of ‘bullying others’ correlated positively with scores on the AQ. There was no indication, however, that physical AQ and physical bullying on the DIPC were the same constructs. There was a closer association between verbal AQ scores and verbal bullying on the DIPC. Bullies and bully/victims reported higher levels of physical and verbal aggression, and bully/victims reported higher levels of hostility and anger, than the other categories. It is concluded that although there are similarities between the AQ and the DIPC, there is no evidence that they are measuring the same type of aggression, although different groups involved in bullying can be partly distinguished by their scores on the AQ. Aggr. Behav. 30:29–42, 2004. © 2004 Wiley‐Liss, Inc.     

The relation between scores on the Buss–Perry Aggression Questionnaire and aggressive acts,impulsiveness, competitiveness,dominance, and sexual jealousy

This paper examines the relation of the four subscales (physical, verbal, anger and hostility) of the Buss–Perry Aggression Questionnaire (BPAQ) to act‐based aggression questionnaires (involving same‐sex or partners as opponents, and direct or indirect aggression) and evolutionarily based predictors of aggression, using an online student sample. All aggression measures were moderately correlated with one another. The BPAQ physical and verbal scales were most closely related to act‐based measures of direct aggression to a same‐sex other and the hostility scale to indirect aggression to a same‐sex other. The evolutionary variables were less closely related to the BPAQ than were the act‐based measures. Dominance and sexual jealousy were predictors of BPAQ physical, verbal and anger, and impulsiveness was a significant predictor of anger. Aggr. Behav. 32:1–10, 2006. © 2006 Wiley‐Liss, Inc.     

Anger and hostility from the perspective of the Big Five personality model

Sanz, J., García‐Vera, M. P. & Magán, I. (2010). Anger and hostility from the perspective of the Big Five personality model. Scandinavian Journal of Psychology, 51, 262–270. This study was aimed at examining the relationships of the personality dimensions of the five‐factor model or Big Five with trait anger and with two specific traits of hostility (mistrust and confrontational attitude), and identifying the similarities and differences between trait anger and hostility in the framework of the Big Five. In a sample of 353 male and female adults, the Big Five explained a significant percentage of individual differences in trait anger and hostility after controlling the effects due to the relationship between both constructs and content overlapping across scales. In addition, trait anger was primarily associated with neuroticism, whereas mistrust and confrontational attitude were principally related to low agreeableness. These findings are discussed in the context of the anger‐hostility‐aggression syndrome and the capability of the Big Five for organizing and clarifying related personality constructs.     

The personality basis of aggression: The mediating role of anger and the moderating role of emotional intelligence

High neuroticism and low agreeableness have been found to predict higher levels of aggression through an increase of negative emotions such as anger. However, previous research has only investigated these indirect associations for physical aggression, whereas evidence for such indirect effects on other types of aggression (i.e., verbal or indirect aggression) is currently lacking. Moreover, no previous work has investigated the moderating role of Ability Emotional Intelligence (AEI), which may buffer against the effects of anger on aggression. The present study (N = 665) directly addresses these gaps in the literature. The results demonstrate that high neuroticism and low agreeableness were indirectly related to higher levels of physical, verbal, and indirect aggression via increased chronic accessibility to anger. Importantly however, the associations with physical aggression were significantly weaker for those higher (vs. lower) on AEI, confirming the buffering role of AEI. We discuss the implications of our findings for theoretical frameworks aiming to understand and reduce aggression and violent behavior.     

Cultural and sex differences in aggression: A comparison between Japanese and Spanish students using two different inventories

Two self‐report inventories developed to assess different dimensions of aggression, the Aggression Questionnaire and the EXPAGG, were administered to a sample (N = 400) of men and women undergraduates in two Japanese and Spanish universities. The factor structure of scales was assessed using exploratory factor analysis. Both questionnaires showed high correlations between their respective scales. In both cultures, males reported more physical aggression, verbal aggression, and hostility as well as higher instrumental beliefs, whereas females reported more expressive representation than males. Japanese students reported more physical aggression than their Spanish counterparts, who reported more verbal aggression, hostility, and anger and more expressive representation of aggression. Aggr. Behav. 27:313–322, 2001. © 2001 Wiley‐Liss, Inc.     

Violent video games exposure and aggression: The role of moral disengagement,anger, hostility,and disinhibition

Based on the General Aggression Model (GAM), the current study investigated the interactive effect of personal factors (e.g., sensation-seeking) and situational factors (e.g., violent video games exposure [VVGE]) on the trait aggressive behavior, and the mediating role of individual difference trait (e.g., moral disengagement, anger, and hostility). We recruited 547 undergraduates (48.45% male) from five Chinese universities. The results showed that VVGE was positively associated with moral disengagement, disinhibition, and the four aggressive traits (physical aggression, verbal aggression, anger, and hostility), which were positively associated with each other. Moral disengagement was positively associated with both the disinhibition and the four aggressive traits. Disinhibition was positively associated with the four aggressive traits as well. When controlled for gender, moral disengagement, anger, and hostility wholly mediated the relationship between VVGE and aggression, but the moderation effect of disinhibition was not significant. These findings support the framework of GAM and indicate that moral disengagement, anger, and hostility may be the factors that increase the risk of a higher level of aggression following repeated exposure to violent video games.     

The aggression questionnaire.

A new questionnaire on aggression was constructed. Replicated factor analyses yielded 4 scales: Physical Aggression, Verbal Aggression, Anger, and Hostility. Correlational analysis revealed that anger is the bridge between both physical and verbal aggression and hostility. The scales showed internal consistency and stability over time. Men scored slightly higher on Verbal Aggression and Hostility and much higher on Physical Aggression. There was no sex difference for Anger. The various scales correlated differently with various personality traits. Scale scores correlated with peer nominations of the various kinds of aggression. These findings suggest the need to assess not only overall aggression but also its individual components.     

Validation of the Dutch version of the aggression questionnaire in adolescent male offenders

This study examined the construct validity of the Dutch version of Buss and Perry’s Aggression Questionnaire (AQ) in 73 adolescent male offenders aged 12 to 18 years who were participating in a residential rehabilitation program. There was a strong positive association between the Hostility subscale of the AQ and psychological and physical symptoms. The nature of this connection was discussed. It was argued that the Hostility subscale measures some unique aspect of aggression that is not incorporated by the Physical Aggression, Verbal Aggression, or Anger subscales of the AQ. As expected, the AQ scales correlated significantly with trait anger, social desirability, and age. Furthermore, staff ratings of physical violence, verbal aggression, anger, and negative attitude were obtained for each subject. Correlations between the AQ scales and these ratings were low. Possible explanations for this unexpected finding are discussed. Finally, normative and internal structure data are presented. Aggr. Behav. 28:87–96, 2002. © 2002 Wiley‐Liss, Inc.     

Direct and indirect relationships among posttraumatic stress disorder,depression, hostility,anger, and verbal and physical aggression in returning veterans

Hostility, anger, and aggression are conceptually related but unique constructs found to occur more often among veterans with posttraumatic stress disorder (PTSD) than among civilians or veterans without PTSD. However, the pathways between PTSD, depression, hostility, anger, and aggression have not been comprehensively characterized. Therefore, drawing on a sample of returning Operation Enduring Freedom/Operation Iraqi Freedom combat veterans ( N = 175; 95% male; mean age 30 years), this study sought to examine the direct and indirect relationships among PTSD, depression, hostility, anger, and four types of aggression: verbal, and physical toward self, others, and objects. Functional modeling of direct effects was done using multiple least-squares regression and bootstrapped mediation analyses were carried out to test indirect effects. Results indicate that PTSD is not the overall direct contributor to different forms of aggression, supporting the mediating role of depression and trait anger. Depression symptoms explain part of the relationships between PTSD and verbal aggression, physical aggression toward objects, and physical aggression toward self and trait anger explains part of the relationships between PTSD and verbal aggression, physical aggression toward objects, and physical aggression toward others. Our findings support the importance of assessing for anger, depression, and different types of aggression among veterans presenting for PTSD treatment to develop individualized treatment plans that may benefit from early incorporation of interventions.     

Relating mindfulness and self-control to harm to the self and to others

Aggression to others and harm to the self (self-harm) have both been associated with similar possible antecedents; however, literatures on aggression and self-harm are commonly separated. This web-based study (N = 241) aimed to explore the dynamics of self-reported mindfulness and self-control towards aggression and self-harm. As predicted, those who were more mindful and more self-controlled reported being less aggressive and self-harmless typically. Bootstrap analyses suggested that self-control mediated the link between mindfulness and general trait aggression, physical aggression, anger, hostility, and self-harm, but not verbal aggression. With the inclusion of self-control, the direct effect of mindfulness on trait aggression, anger, and hostility, but not on physical aggression and self-harm, remained significant. Self-control, therefore, may be a pertinent individual difference on the link between mindfulness and behaviours that are physically harmful to the self and to others.     

Aggression,anger and hostility: Evaluation of moral disengagement as a mediational process

This study examines how the mechanisms underlying moral disengagement serve as a mediator between anger and hostility and physical and verbal aggression. The study was carried out on 424 participants (61.1% females), aged 15 to 25 years, assessing the direct and indirect effects of the distinct variables using a hierarchical multiple regression analysis and structural equation modeling. The findings suggest that anger and hostility contribute independently and positively to physical and verbal aggression. Moreover, the relationships between anger, hostility, and aggression appear to be mediated by moral disengagement. Indeed, this process of mediation was invariant across sexes, and it tended to be stronger for physical – as opposed to verbal – aggression.     

The Relationship Between Aggression and Employment Integrity

The relationship between aggression and employment integrity was investigated, in order to assess the construct validity of a employment screening device. Participants (155 male, 151 female) completed an employment screening test and two aggression scales. For both men and women, general aggression negatively correlated with employment integrity. A negative relationship was also found between employment integrity and physical aggression, anger, and verbal aggression. No significant relationship was found between hostility and employment integrity.     

The role of anger in generalized anxiety disorder

Little is known about the role of anger in the context of anxiety disorders, particularly with generalized anxiety disorder (GAD). The aim of study was to examine the relationship between specific dimensions of anger and GAD. Participants (N?=?381) completed a series of questionnaires, including the Generalized Anxiety Disorder Questionnaire (GAD-Q-IV; Newman et al., 2002, Behavior Therapy, 33, 215-233), the State-Trait Anger Expression Inventory (STAXI-2; Spielberger 1999, State-Trait Anger Expression Inventory-2: STAXI-2 professional manual, Odessa, FL: Psychological Assessment Resources) and the Aggression Questionnaire (AQ; Buss & Perry 1992, Journal of Personality and Social Psychology, 63, 452-459). The GAD-Q-IV identifies individuals who meet diagnostic criteria for GAD (i.e. GAD analogues) and those who do not (non-GAD). The STAXI-2 includes subscales for trait anger, externalized anger expression, internalized anger expression, externalized anger control and internalized anger control. The AQ includes subscales for physical aggression, verbal aggression, anger and hostility. The GAD-Q-IV significantly correlated with all STAXI-2 and AQ subscales (r's ranging from .10 to .46). Multivariate analyses of variance revealed that GAD analogues significantly differed from non-GAD participants on the combined STAXI-2 subscales (η(2)?=?.098); high levels of trait anger and internalized anger expression contributed the most to GAD group membership. GAD analogue participants also significantly differed from non-GAD participants on the combined AQ subscales (η(2)?=?.156); high levels of anger (affective component of aggression) and hostility contributed the most to GAD group membership. Within the GAD analogue group, the STAXI-2 and AQ subscales significantly predicted GAD symptom severity (R (2)?=?.124 and .198, respectively). Elevated levels of multiple dimensions of anger characterize individuals who meet diagnostic criteria for GAD.     

Aggression and psychological problems in juvenile male delinquents versus controls in russia: Alternative ways of “letting off steam”?

The purpose of this study is to investigate possible relationships between various subtraits of aggression and psychological symptoms in a sample of male delinquents. One hundred eighty-nine subjects from a juvenile correction center for delinquent adolescents and 117 control subjects from secondary schools in Arkhangelsk, Russia, were assessed by means of the Aggression Questionnaire and the Youth Self-Report. Significant correlations between hostility, anger, and some psychological problems (e.g., Withdrawn, Anxious/Depressed, Thought Problems) were found in both groups. At the same time, physical and verbal aggression was almost exclusively related to aggressive and delinquent behavior. The findings lend support to our proposed interactional model in which excitation, as a result of the interplay between cognitions and emotions, could be expressed either as socially accepted behavior, aggressive behavior, or psychological and somatic symptoms.     

Being angry for different reasons: the role of personality in distributive justice

The present research examines personality predictors of anger in response to unfavorable and favorable outcomes with regard to violations of the distributive justice principle of equality. Two studies showed that feelings of anger in response to equality violations were related to neuroticism and agreeableness, albeit for different reasons. Depending on whether the equality violation was favorable or not, anger could be predicted by either feelings of threat or guilt for neuroticism and perceptions of responsibility for agreeableness. These findings add to the literature on boundary conditions of justice and reveal how core personality dimensions contribute to emotional reactions in distributively unjust situations, even if the outcome is personally favorable.     

Hostile Attributional Bias,Negative Emotional Responding,and Aggression in Adults: Moderating Effects of Gender and Impulsivity

The current study examined the main effects of hostile attributional bias (HAB) and negative emotional responding on a variety of aggressive behaviors in adults, including general aggression, physical aggression, relational aggression, and verbal aggression. Effects of both externalizing (anger) and internalizing (embarrassment/upset) negative emotions were considered. In addition, the moderating roles of gender and impulsivity on the effects of HAB and negative emotional responding were explored. Multilevel models were fitted to data from 2,749 adult twins aged 20–55 from the PennTwins cohort. HAB was positively associated with all four forms of aggression. There was also a significant interaction between impulsivity and HAB for general aggression. Specifically, the relationship between HAB and general aggression was only significant for individuals with average or above‐average levels of impulsivity. Negative emotional responding was also found to predict all measures of aggression, although in different ways. Anger was positively associated with all forms of aggression, whereas embarrassment/upset predicted decreased levels of general, physical, and verbal aggression but increased levels of relational aggression. The associations between negative emotional responding and aggression were generally stronger for males than females. The current study provides evidence for the utility of HAB and negative emotional responding as predictors of adult aggression and further suggests that gender and impulsivity may moderate their links with aggression. Aggr. Behav. 38:47‐63, 2012. © 2011 Wiley Periodicals, Inc.     

When cooler heads prevail: peacemakers in a sports riot.

Male sports fans (N = 74) were asked to estimate the likelihood that they would intervene in a crowd disturbance in an attempt to stop the fighting. They also completed a battery of measures that included their attitude toward law and order, fight history, the false consensus effect, impulsivity, psychopathy, sensation seeking, anger, physical aggression and identification with their favorite team. Law and order, body mass, anger and the false consensus effect were positively related to peacemaking whereas sensation seeking was negatively related. A multiple regression analysis yielded a solution that accounted for 32.3% of the variance with anger and attitude toward law and order emerging as the best predictors.