Recidivism by direct sentence clients released from day report centers in 2011: Predictors and patterns
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Date
1/1/2016
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West Virginia Office of Research and Strategic Planning
Abstract
This publication won the 2016 Douglas Yearwood Award in the Research/Policy Analysis category. This study investigates the factors that predict the likelihood that DRC clients will be arrested, booked into jail, or incarcerated within 2 years of release. It also examines the timing of recidivism events during the period after release. The strong relationship between successful program completion, risk scores, and recidivism provides evidence of the impact of DRC programming and the predictive validity of the LS/CMI risk assessment tool. Findings related to the timing of recidivism point to additional opportunities for reducing recidivism rates through the use of targeted post-release supervision strategies. Implications for quality assurance, effective treatment dosage, and adherence to evidence-based practices are also discussed.
Description
This publication won the 2016 Douglas Yearwood Award in the Research/Policy Analysis category. This study investigates the factors that predict the likelihood that DRC clients will be arrested, booked into jail, or incarcerated within 2 years of release. It also examines the timing of recidivism events during the period after release. The strong relationship between successful program completion, risk scores, and recidivism provides evidence of the impact of DRC programming and the predictive validity of the LS/CMI risk assessment tool. Findings related to the timing of recidivism point to additional opportunities for reducing recidivism rates through the use of targeted post-release supervision strategies. Implications for quality assurance, effective treatment dosage, and adherence to evidence-based practices are also discussed.
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Keywords
Douglas Yearwood Award Winner, Policy Analysis, Recidivism