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NCJ Number: 178806 Find in a Library
Title: Identifying Chronic Juvenile Offenders
Journal: Corrections Compendium  Volume:24  Issue:8  Dated:August 1999  Pages:1-23
Author(s): Peter R. Jones; Philip W. Harris; Jamie Fader; Joyce Burrell; Akin Fadeyi
Date Published: August 1999
Page Count: 7
Type: Survey
Format: Article
Language: English
Country: United States of America
Annotation: The Philadelphia Department of Human Services (DHS) has developed a juvenile justice evaluation-based information system that supports a more informed and rational decision-making approach to policy development and that includes a classification model to identify juveniles at high risk of becoming chronic offenders.
Abstract: Major policy goals of the DHS regarding chronic juvenile offenders are fairly straightforward. They include increased efficiency of resource allocation, improved matching of juveniles and programs, and improved public safety. The DHS has taken into account research on ways of predicting chronic juvenile delinquency and recidivism predictors or offending frequency. An evaluation of the DHS approach identified a cohort of 1,363 early offender juveniles with one prior arrest or no prior arrests who entered the juvenile justice system during a 1-year period from 1995 to 1996. Chronic juvenile offenders were defined as juveniles who accumulated at least 3 arrests by the end of the 2-year follow-up period. Among the early juvenile offenders 7.9 percent became chronic offenders. The most important predictor of chronic juvenile delinquency was age at first arrest. An assessment of the impact of program interventions and neighborhoods on case outcomes revealed that the proportion of high-risk juveniles who actually became chronic offenders was no higher for nonresidential programs than for other more restrictive and more expensive institutional placements. Implications and limitations of the evaluation findings are discussed. 28 references, 1 table, and 3 figures
Main Term(s): Juvenile Corrections/Detention
Index Term(s): Habitual offenders; Information Systems and Technology; Juvenile delinquency prediction; Juvenile offenders; Juvenile recidivism prediction; Juvenile recidivists; Pennsylvania; Program evaluation
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