Journal article
The Prediction of Criminal Recidivism in Juveniles: A Meta-Analysis
Criminal justice and behavior, v 28(3), pp 367-394
Jun 2001
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A meta-analysis was conducted to identify risk factors that best predict juvenile recidivism, defined as rearrest for offending of any kind. Twenty-three published studies, representing 15,265 juveniles, met inclusion criteria. Effect sizes were calculated for 30 predictors of recidivism. Eight groups of predictors were compared: (a) demographic information, (b) offense history, (c) family and social factors, (d) educational factors, (e) intellectual and achievement scores, (f) substance use history, (g) clinical factors, and (h) formal risk assessment. The domain of offense history was the strongest predictor of reoffending. Other relatively strong predictors included family problems, ineffective use of leisure time, delinquent peers, conduct problems, and nonsevere pathology.
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Details
- Title
- The Prediction of Criminal Recidivism in Juveniles
- Creators
- CINDY C. Cottle - Hahnemann University HospitalRIA J. Lee - Hahnemann University HospitalKIRK Heilbrun - Hahnemann University Hospital
- Publication Details
- Criminal justice and behavior, v 28(3), pp 367-394
- Publisher
- Sage
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000168806200005
- Scopus ID
- 2-s2.0-23044526264
- Other Identifier
- 991019168604304721
UN Sustainable Development Goals (SDGs)
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Criminology & Penology
- Psychology, Clinical