Psychometric attributes associated with attrition within a prison-based democratic therapeutic community

Author:

Pointon Victoria Jade,Roberts Rachel

Abstract

Purpose The purpose of this paper is to examine the psychometric characteristics of male offenders who joined a democratic therapeutic community and their relationship to attrition. Design/methodology/approach Residents who left therapy prematurely during the assessment phase (N = 46) and residents who left therapy prematurely during core therapy (N = 202) were compared to residents who completed therapy (N = 52) on two psychometric measures: Raven’s Standard Progressive Matrices and The Blame Attribution Inventory. Findings A multinomial logistic regression analysis showed higher levels of external blame can predict attrition during therapy; those with higher levels of external attribution are significantly more likely to leave therapy prematurely, including both during the assessment phase and during core therapy. Raven's Standard Progressive Matrices score did not significantly predict whether an individual left therapy prematurely. Originality/value Support was found for existing research within the academic evidence base. The findings have both empirical and clinical utility, suggesting during the assessment phase of therapy, practitioners can identify residents that may require additional support to maintain engagement, minimising the potential for premature departure. The implications of the findings are discussed, with suggestions made for future research.

Publisher

Emerald

Subject

Psychiatry and Mental health,Clinical Psychology,Health Professions (miscellaneous),Pshychiatric Mental Health

Reference36 articles.

1. Accreditation of offending behaviour programmes in HM prison service: ‘what works’ in practice;Legal and Criminological Psychology,2003

2. It was not me: attribution of blame for criminal acts in psychiatric offenders;Forensic science International,2007

3. 1993 – The Grendon reconviction study, part 1;Prison Service Journal,1992

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