Factor Structure of the Buss-Perry Aggression Questionnaire (BPAQ) With Mentally Ill Male Prisoners

Diamond, Pamela M.; Wang, Eugene W.; Buffington-Vollum, Jacqueline

doi:10.1177/0093854805278416

Cited by 61 publications

(78 citation statements)

References 24 publications

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“…Taken together, the results are clear: The parsimonious models developed by Bryant and Smith (2001) and Diamond et al (2005) not only outperformed all other models, but they also achieved clearly good fit even using stringent criteria on all individual indices and considering the combinational rules of Hu and Bentler (1999). These findings extend past support for these conceptualizations with a different offender population.…”

Section: Phase 1: Model Comparisonsupporting

confidence: 70%

“…Of note are the respective R 2 values for Items 3 and 11 as they are the defining difference between the two models. Consistent with Diamond et al (2005), Item 11 had more of its variance explained by the latent construct of anger than did Item 3 used in the Bryant and Smith model.…”

Section: Phase 2: Bryant and Smith Versus Diamond And Colleagues-closmentioning

confidence: 69%

“…All of the above indices were used by Bryant and Smith (2001) and Diamond et al (2005) except for the SRMR. It was added to allow for the use of combinational rules outlined in Hu and Bentler (1999).…”

Section: Phase 1: Model Comparisonmentioning

confidence: 99%

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Buss–Perry Aggression Questionnaire

Gallagher

Ashford

2016

Criminal Justice and Behavior

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The Buss-Perry Aggression Questionnaire (BP-AQ) is a 29-item, four-factor instrument that measures physical aggression, verbal aggression, anger, and hostility. A large number of competing versions of the original BP-AQ have been proffered in the literature, but testing with aggressive offenders is limited. The present study used confirmatory factor analysis to compare the fit of seven models with a sample of 246 men and women who pled guilty to misdemeanor aggressive offenses. The study found two similar parsimonious 12-item versions of the four-factor BP-AQ that outperformed the other models and fit the data well while retaining acceptable reliability. Taken together, superior psychometric properties, acceptable reliability, and reduced item-burden are properties that clearly support the usage of either of these 12-item versions. The relative merits of these shorter versions of the BP-AQ are examined and implications for their use in applied contexts and further research are considered.

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Section: Phase 1: Model Comparisonsupporting

confidence: 70%

Section: Phase 2: Bryant and Smith Versus Diamond And Colleagues-closmentioning

confidence: 69%

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Buss–Perry Aggression Questionnaire

Gallagher

Ashford

2016

Criminal Justice and Behavior

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“…The parent instrument, the Buss-Perry Aggression Questionnaire (BPAQ), has been widely used (Buss & Perry, 1992;Buss & Warren, 2000) as a reliable measure of aggression (Archer & Webb, 2006;Buss & Warren, 2000). For purposes of this study, the BPAQ and BPAQ-SF demonstrated acceptable levels of reliability and validity with correctional samples (see Archer & Haigh, 1997a, 1997bDiamond & Magaletta, 2006;Ireland & Archer, 2004;O'Connor, Archer, Hair, & Wu, 2001), including mentally ill prisoners (Diamond, Wang, & Buffington-Vollum, 2005). Cronbach's alpha for the BPAQ-SF was 0.89 for this study population.…”

Section: Methods Participantsmentioning

confidence: 95%

Comparative Analysis of Attitudes and Emotions Among Inmates

Wolff

Morgan

Shi

2013

Criminal Justice and Behavior

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This study examines the relationship between behavioral health problems and criminogenic thinking, aggression, self-control, and hopelessness, controlling for other demographic and criminal behavior characteristics among incarcerated persons. Male (n = 3,986) and female (n = 218) inmates expected to be released within 24 months from prisons affiliated with a northeastern state department of corrections completed the Criminal Sentiments Scale-Modified, Buss-Perry Aggression Questionnaire Short-Form, Brief Self-Control Scale, and Beck Hopelessness Scale. Results indicated that behavioral health variables were significantly and substantially correlated with antisocial thinking, aggression, self-control, and hopelessness. For male inmates, serious mental illness and substance abuse problems significantly increased antisocial attitudes, aggression, and hopelessness scores and decreased self-control scores. In preparing incarcerated persons with and without mental illnesses for reentry to the community, it is critical to develop and implement evidence-based interventions that respond to attitudinal and emotional risk factors that predict relapse and recidivism.

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“…To measure self-esteem and aggression, Rosenberg's Self-Esteem Scale (Rosenberg, 1965) (α=.862, 10 items) and The Short-Form Buss-Perry Aggression Questionnaire (α=.882, 12 items) were used, respectively (Diamond et al, 2005). Finally, in terms of game moral positioning, modified scales by Triberti et al were used (Triberti et al, 2015).…”

Section: Methodsmentioning

confidence: 99%

The Effects of Personal Traits and Game Factors on Immoral Game Behavior: Focused on League of Legends

Lee

Kong²,

Piao³

et al. 2019

Proceedings of the International Conferences ICT, Society, and Human Beings 2019; Connected Smart Cities 2019; And Web Based Co

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As digital games have become popular, the number of incidents and the degree of damage caused by immoral game behavior (such as "flaming", "trolling") are on the rise. But few studies have been conducted to explore the antecedents to such flaming and trolling. Therefore, this study empirically examined the effects of aggression and self-esteem, and game factors (game moral positioning, game motivations, gaming time) on immoral game behaviors with participating game players of . Results showed that game moral positioning (i.e., a tendency to choose evil characters or activities) and advancement motivation (i.e., focus on competition and growth) positively affect immoral game behaviors. While "fun/interest" motivation has a negative effect on immoral game behaviors. In addition, gaming time did not affect flaming and trolling. These results show that preference of an evil moral identity or competitive motivation in a game could affect immoral game behaviors. These results show that moral preference of an evil identity or competitive motivation in a game could affect immoral game behaviors. And it could impede delectable game experience. Furthermore, meanwhile, aggression increase immoral game behaviors. But self-esteem did not affect immoral game behaviors. Finally, moral positioning moderates the impact of aggression and advancement motivation on immoral game behaviors. Consequently, digital games that solicit moral deviations should seek ways to offer unique entertainment, and to encourage game users not to put an obstacle to the other game users' positive gaming experience due to their excessive immersion in evil characters or identities. As suggested, game producers must offer diverse types of gaming systems or to organize special game modes than those promoting excessive competitiveness for the pleasure and enjoyment of various types of users.

show abstract

Factor Structure of the Buss-Perry Aggression Questionnaire (BPAQ) With Mentally Ill Male Prisoners

Cited by 61 publications

References 24 publications

Buss–Perry Aggression Questionnaire

Buss–Perry Aggression Questionnaire

Comparative Analysis of Attitudes and Emotions Among Inmates

The Effects of Personal Traits and Game Factors on Immoral Game Behavior: Focused on League of Legends

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