Article Summary:
The current study used data collected during the Evaluation of Ohio’s Prison Programs. The analytical sample of N = 63,772 inmates represents one of the largest samples used to assess the association between within-prison sanctioning and recidivism. Latent class growth analysis (LCGA) demonstrated that five guilty sanctioning clusters existed within the data: Persistent (0.72%), Very High Decline (0.11%), High Decline (1.38%), Moderate Decline (27.03%), and Abstainers (70.75%). The examination of sanctioning cluster classification on post-release recidivism suggested that higher exposure to formal sanctions during imprisonment predicted recidivism one, two, and three years post-release. Link to Published Article
Policy Implications:
The empirical analysis provided evidence suggesting an association between within-prison sanctioning clusters and recidivism. Furthermore, longitudinal sanctioning clusters exposed to higher levels of within-prison sanctioning possessed a higher probability of recidivism one, two, and three years post-release. If replicated, two policy implications could be derived from the contextualization of these results within the ensnarement framework. First, it is recommended that the frequency and severity of sanctions be reduced, to the extent possible, during imprisonment. Second, increased access to prosocial opportunities (e.g., rehabilitation programs) during sanctioning efforts is also encouraged based on the analyses.