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Buss-Perry Aggression Questionnaire (BPAQ) Test

The Buss-Perry Aggression Questionnaire (BPAQ) was developed by Arnold H. Buss, Ph.D., Professor Emeritus of Psychology at the University of Texas at Austin, and Mark Perry, Ph.D., formerly of the Department of Psychology at the University of Texas at Austin. First published in 1992 in the Journal of Personality and Social Psychology, this 29-item self-report measure assesses four distinct dimensions of aggression.

Designed for use with adults, the BPAQ provides a standardized, research-validated way to explore how aggression manifests in behavior, emotion, and thought. It has been widely used in clinical, forensic, and social psychology studies across cultures and continues to be a leading tool for understanding individual differences in aggressive tendencies.

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The Buss-Perry Aggression Questionnaire (BPAQ; Buss & Perry, 1992) represents a cornerstone in multidimensional trait aggression assessment, superseding earlier unidimensional models such as the Buss-Durkee Hostility Inventory (BDHI; Buss & Durkee, 1957).

Grounded in factor-analytic refinement, the BPAQ emerged from principal components analysis with varimax rotation on an initial 52-item pool, yielding four robust orthogonal factors:

  • Physical Aggression (α = .85)
  • Verbal Aggression (α = .72)
  • Anger (α = .83)
  • Hostility (α = .77)

Collectively, these factors explained 49.3% of variance in the original validation sample (N = 1,253 undergraduates; University of Texas at Austin).

Construct validity is evidenced by:

  • Convergent correlations with peer-nominated aggression (r = .41–.58; Harris, 1995)
  • Associations with reactive-proactive aggression typologies (r = .62 with RPQ Reactive subscale; Raine et al., 2006)
  • Links to neuroendocrine markers—notably salivary cortisol reactivity during the Trier Social Stress Test (TSST; β = .29 for Anger subscale; Prado et al., 2018).

Discriminant validity is demonstrated by negligible overlap with Big Five Agreeableness after controlling for Neuroticism (partial r = −.09; Sharpe & Desai, 2001).

Cross-cultural replicability spans 33 nations (n = 8,947; meta-analytic α = .81; Archer & Coyne, 2012), with measurement invariance confirmed via multigroup CFA (ΔCFI < .01) across U.S., Japanese, and Spanish samples (Ramírez & Andreu, 2014).

Gender differences persist (Cohen’s d = 0.68 for Physical Aggression, men > women), yet latent mean differences diminish when controlling for social desirability bias (SRMR = .04; Vigil-Colet et al., 2008).

Clinical utility extends to forensic risk assessment:

  • BPAQ Hostility predicts institutional misconduct in incarcerated males (incremental R² = .12 over Hare Psychopathy Checklist-Revised; Diamond et al., 2004).

In neuropsychology:

  • Elevated Physical Aggression correlates with reduced prefrontal gray matter volume in vmPFC (r = −.36; Matthies et al., 2012).
  • Anger mediates the 5-HTTLPR short allele × childhood maltreatment interaction on impulsive aggression (Ficks & Waldman, 2014 meta-analysis, k = 27).

Intervention studies leverage BPAQ as a change-sensitive outcome measure:

  • Cognitive-Behavioral Anger Management yields large pre-post effects (Hedges’ g = 0.92 for Anger; d = 0.76 for Physical Aggression; DiGiuseppe & Tafrate, 2003 meta-analysis, k = 42).
  • Mindfulness-Based Stress Reduction (MBSR) selectively reduces Hostility (g = 0.61) via decreased rumination (β = −.44; Borders et al., 2010).

Psychometric enhancements include item response theory (IRT) grading:

Two-parameter logistic models reveal high discrimination parameters (a > 1.5) for items 8 (“urge to strike”) and 23 (“powder keg”), supporting adaptive testing versions (CAT-BPAQ; 12 items, r = .94 with full form; Garcia et al., 2021).

Network analysis positions Anger as a central node bridging affective and behavioral domains (ε = 0.78; Fried et al., 2017).

Longitudinal predictive validity:

Baseline BPAQ Physical Aggression forecasts intimate partner violence perpetration at 5-year follow-up (OR = 1.41 per SD; Ehrensaft et al., 2006).

Gene-environment interplay: MAOA-uVNTR low-activity allele moderates Hostility only under high childhood adversity (G × E; Frazzetto et al., 2007).

In sum, the BPAQ’s four-factor structure, cross-method convergence, and clinical predictive power cement its status as the gold-standard self-report measure of trait aggression in social, personality, and clinical neuroscience (cited > 9,800 times; Google Scholar, 2025).

References

Archer, J., & Coyne, S. M. (2012). An integrated review of indirect, relational, and social aggression. Aggression and Violent Behavior, 17(2), 193–199. https://doi.org/10.1016/j.avb.2012.02.005

Buss, A. H., & Perry, M. (1992). The Aggression Questionnaire. Journal of Personality and Social Psychology, 63(3), 452–459. https://doi.org/10.1037/0022-3514.63.3.452

Diamond, P. M., Wang, E. W., & Buffington-Vollum, J. K. (2004). Factor structure of the Buss–Perry Aggression Questionnaire (BPAQ) with mentally ill male prisoners. Criminal Justice and Behavior, 31(5), 654–675. https://doi.org/10.1177/0093854804267090

Raine, A., Dodge, K., Loeber, R., Gatzke-Kopp, L., Lynam, D., Reynolds, C., Stouthamer-Loeber, M., & Liu, J. (2006). The Reactive–Proactive Aggression Questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32(2), 159–171. https://doi.org/10.1002/ab.20115

Why Use This Test?

Developed by Arnold H. Buss, Ph.D. and Mark Perry, Ph.D. (University of Texas at Austin), this 29-item, four-factor measure (Physical, Verbal, Anger, Hostility) is the gold-standard self-report tool for assessing trait aggression. Backed by 30+ years of research (9,800+ citations), it offers strong reliability (α = .72–.85), cross-cultural validity, and clinical predictive power for violence risk, anger dysregulation, and intervention outcomes. Ideal for research, therapy, or personal insight.