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.
Wang
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Program Evaluation Department, John T. Montford Psychiatric/Medical Unit, 8602 Peach Street, Lubbock, TX 79404, USA. chceww@ttuhsc.edu
Diamond
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PM
D000328:Adult; D005555:Forensic Psychiatry / Q000379:methods*; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000523:psychology*; D008960:Models, Psychological; D011329:Prisoners / Q000523:psychology*; D012044:Regression Analysis; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D014481:United States; D014754:Violence / Q000517:prevention & control* / Q000523:psychology