Risk Assessment Instruments in Repeat Offending
Author(s) -
Astrid Rossegger,
Arja Laubacher,
Konstantin Moskvitin,
Thomas Villmar,
George B. Palermo,
Jérôme Endrass
Publication year - 2010
Publication title -
international journal of offender therapy and comparative criminology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.749
H-Index - 61
eISSN - 1552-6933
pISSN - 0306-624X
DOI - 10.1177/0306624x09360662
Subject(s) - recidivism , risk assessment , psychology , logistic regression , receiver operating characteristic , checklist , sample (material) , risk management tools , bivariate analysis , applied psychology , actuarial science , clinical psychology , statistics , computer science , computer security , mathematics , business , chemistry , chromatography , cognitive psychology
Research in the area of predicting recidivism has produced several well-validated standardized risk assessment instruments. The question arises, which instruments best serve which purposes? The objective of this study was to evaluate and compare several actuarial and dynamic risk assessment instruments as to their predictive accuracy and their usefulness in forensic practice. The sample consisted of 109 violent and sex offenders who had been released from prison in Switzerland between 1994 and 1999, and for whom the Psychopathy Checklist-Revised (PCL-R); Historical, Clinical, Risk Management-20; Level of Service Inventory-Revised; Violence Risk Appraisal Guide (VRAG); and the Swiss assessment instrument FOTRES were scored. Using bivariate logistic regression analyses, all instruments were able to discriminate between recidivists and nonrecidivists. The receiver operating characteristic analyses yielded area under the curve values between 0.70 (VRAG) and 0.84 (PCL-R). Furthermore, it was shown that solely examining AUC values does not suffice to determine usefulness. A comprehensive evaluation of an instrument's usefulness for forensic practice should also look at qualitative criteria such as area of application, specificity of risk assessed, and inclusion of dynamic items among others.
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