U.S. flag

An official website of the United States government, Department of Justice.

NCJRS Virtual Library

The Virtual Library houses over 235,000 criminal justice resources, including all known OJP works.
Click here to search the NCJRS Virtual Library

Making the Most of Second Chances: An Evaluation of Minnesota's High-Risk Revocation Reduction Reentry Programs

NCJ Number
253591
Journal
Journal of Experimental Criminology Volume: 11 Issue: 2 Dated: 2015 Pages: 193-215
Author(s)
Valerie A. Clark
Date Published
2015
Length
23 pages
Annotation

This article reports on a study that examined whether a reentry program that targeted high-risk offenders leaving Minnesota state prisons significantly reduced recidivism. 

Abstract

Adult male release violators serving incarceration periods of 2-6 months in two Minnesota state prisons were randomly assigned to either the control group (n-77) or the High-Risk Revocation Reduction (HRRR) program (n-162). The latter group was provided with supplemental case planning, housing, employment, mentoring, cognitive-behavioral programming, and transportation assistance services, while the former group was given standard case management services. After 1-2 years of post-release follow-up time, event history analysis was used to predict the following four measures of recidivism: supervised release revocation, re-arrest, reconviction, and new offense reincarceration. The Cox regression analyses revealed that participation in HRRR significantly lowered the risk of supervised release revocations and reconvictions by 28 and 43 percent, respectively. Regardless of treatment or control group membership, receiving more reentry assistance significantly reduced supervision revocation and re-arrest. Analyses also revealed that employment assistance, including subsidized employment, was especially effective at reducing recidivism. The study concluded that targeting resources for this previously under-served population may be useful for lowering overall rates of recidivism; however, a later follow-up analysis is needed to ensure that these results remain over time. (publisher abstract modified)