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Dissertation
Self-reported and LS/CMI measured risk factors: relation to RNR adherence and criminal recidivism
Doctor of Philosophy (Ph.D.), Drexel University
Jan 2013
DOI:
https://doi.org/10.17918/etd-4135
Abstract
Our criminal justice system has struggled to identify models that effectively reduce the risk of recidivism among offenders. Increasingly, the role of risk/need assessments in offender rehabilitation has been described, and the results of these assessments are frequently used for intervention planning or classification decision-making. As such, this study had two aims. First, this study aimed to examine the effectiveness of the risk-need-responsivity model in reducing recidivism among a sample of N=71 male offenders at a reentry facility. A measure was developed to assess adherence to the RNR model by identifying the match between the risk level and criminogenic needs identified by the Level of Service/Case Management Inventory (LS/CMI), and services received during participation in reentry programming. Rearrest data were available for one year and 16-month follow-up periods. Analyses revealed that there was no significant relationship between level of RNR adherence and rearrest. This relationship remained non-significant when controlling for overall risk level. Second, this study explored the relationship between assessment-identified and self-identified risk factors, with the aim of determining whether level of insight into ones own risk factors is associated with recidivism . A subsample of 65 participants was included in analyses. Results revealed that the level of concordance between LS/CMI-identified and self-identified risk factors was not significantly associated with recidivism. Although risk level was tested as a moderator of this relationship, no significant interaction effect was detected. The implications that these results have for intervention planning are discussed.
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Details
- Title
- Self-reported and LS/CMI measured risk factors
- Creators
- Stephanie Brooks Holliday - DU
- Contributors
- Kirk Heilbrun (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Doctor of Philosophy (Ph.D.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Dissertation
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology); College of Arts and Sciences; Drexel University
- Other Identifier
- 4135; 991014632183204721