Is Risk-Need-Responsivity Enough? Examining Differences in Treatment Response Among Male Incarcerated Persons

Author:

Lester Michael E.,Batastini Ashley B.ORCID,Davis Riley1,Bourgon Guy2

Affiliation:

1. The University of Southern Mississippi

2. Corrections Research, Public Safety and Emergency Preparedness Canada

Abstract

Research examining the efficacy of cognitive behavioral therapy (CBT) in reducing recidivism has paid little attention to treatment factors contributing to response variability. Using an archival sample of 448 participants exposed to a risk-need-responsivity (RNR)-informed CBT program or no treatment, a multigroup latent profile analysis yielded a four-profile solution: a treatment-nonresponsive group and three treatment-responsive groups. Among the treatment-responsive profiles, reduced criminal attitudes were most predictive of desistance from reoffending. Elevated rates of recidivism and negligible gains following treatment were associated with pretreatment elevations in antisocial traits, risk level, and negative attitudes toward treatment. These findings underscore a greater need for individualized assessment of risk and treatment motivation, the importance of altering criminal sentiments to prevent reentry into the system upon release, and challenge the idea that 200 hours of treatment is sufficient for lasting change. Study limitations and further directions are discussed, including the need for correctional treatment outcome research to better isolate individual differences.

Publisher

SAGE Publications

Subject

Law,General Psychology,Pathology and Forensic Medicine

Reference25 articles.

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3