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dc.contributor.authorWong, Stephen C. P.
dc.date.accessioned2017-10-13T11:46:56Z
dc.date.available2017-10-13T11:46:56Z
dc.date.issued2012
dc.identifier.citationLewis, K., Olver, M. E. & Wong, S. C. P. (2012). The Violence Risk Scale: Validity, measurement of treatment changes and violent recidivism in a high risk and personality disordered sample of male offenders. Assessment, 20 (2), pp.150-164.en
dc.identifier.other10.1177/1073191112441242
dc.identifier.urihttp://hdl.handle.net/20.500.12904/5152
dc.description.abstractThe Violence Risk Scale (VRS) uses ratings of static and dynamic risk predictors to assess violence risk, identify targets for treatment, and assess changes in risk following treatment. The VRS was rated pre- and posttreatment on a sample of 150 males, mostly high-risk violent offenders many with psychopathic personality traits. These individuals attended a high-intensity institution-based cognitive–behavioral–oriented violence reduction treatment program in Canada and were then followed up for approximately 5 years postrelease to determine court adjudicated community violent recidivism. VRS scores significantly predicted violent recidivism. Measurements of risk reduction using dynamic VRS predictors were significantly correlated with reduction of violent recidivism after controlling for various potential confounds. The results suggest that, in a high-risk group of offenders with significant psychopathic traits, the VRS demonstrated predictive validity and the dynamic predictors can be used to assess treatment progress, which is linked to a specific criterion variable, thus, fulfilling the criteria for causal dynamic predictors set forth by Kraemer et al.
dc.subjectCriminalsen
dc.subjectViolenceen
dc.titleThe Violence Risk Scale: Validity, measurement of treatment changes and violent recidivism in a high risk and personality disordered sample of male offendersen
dc.typeArticle
html.description.abstractThe Violence Risk Scale (VRS) uses ratings of static and dynamic risk predictors to assess violence risk, identify targets for treatment, and assess changes in risk following treatment. The VRS was rated pre- and posttreatment on a sample of 150 males, mostly high-risk violent offenders many with psychopathic personality traits. These individuals attended a high-intensity institution-based cognitive–behavioral–oriented violence reduction treatment program in Canada and were then followed up for approximately 5 years postrelease to determine court adjudicated community violent recidivism. VRS scores significantly predicted violent recidivism. Measurements of risk reduction using dynamic VRS predictors were significantly correlated with reduction of violent recidivism after controlling for various potential confounds. The results suggest that, in a high-risk group of offenders with significant psychopathic traits, the VRS demonstrated predictive validity and the dynamic predictors can be used to assess treatment progress, which is linked to a specific criterion variable, thus, fulfilling the criteria for causal dynamic predictors set forth by Kraemer et al.


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