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J. Stephen Wormith

Researcher at University of Saskatchewan

Publications -  49
Citations -  5038

J. Stephen Wormith is an academic researcher from University of Saskatchewan. The author has contributed to research in topics: Recidivism & Poison control. The author has an hindex of 24, co-authored 46 publications receiving 4551 citations.

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The Recent Past and Near Future of Risk and/or Need Assessment

TL;DR: Andrews et al. as discussed by the authors reviewed the progress of risk assessment in criminal justice and assess progress since Andrews, Bonta, and Hoge's (1990; Andrews, Zinger, et al., 1990) statement of the human service principles of risk-needresponsivity and professional discretion.
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The risk-need-responsivity (RNR) model: Does adding the good lives model contribute to effective crime prevention?

TL;DR: In this article, the authors respond to GLM's criticisms of RNR and conclude that little substance is added by GLM that is not already included in RNR, although proponents of GLM may learn from the popular appeal that GLM, with its positive, strength-based focus, has garnered from clinicians over the past decade.
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A meta-analysis of predictors of offender treatment attrition and its relationship to recidivism

TL;DR: Offender treatment attrition can be managed and clients can be retained through an awareness of, and attention to, key predictors of attrition and adherence to responsivity considerations.
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Risk assessment with young offenders: A meta-analysis of three assessment measures.

TL;DR: In this article, a meta-analysis of the predictive accuracy of three well-known forensic instruments used to appraise risk with young offenders is presented, i.e., youth adaptations of the Level of Service Inventory and Psychopathy Checklist and the Structured Assessment of Violence Risk for Youth.
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Are the Major Risk/Need Factors Predictive of Both Female and Male Reoffending?: A Test With the Eight Domains of the Level of Service/Case Management Inventory

TL;DR: The mean incremental contributions of gender and the gender–by–risk level interactions in the prediction of criminal recidivism were minimal and the relatively strong validity of the LS/CMI risk level was strong, suggesting possible implications for test interpretation and policy.