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NCJRS Abstract

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NCJ Number: 99556 Add to Shopping cart Find in a Library
Title: Employment Services for Ex-Offenders Field Test
Author(s): A D Timrots; R H Milkman; N Landson
Corporate Author: Lazar Institute
United States of America
Date Published: 1985
Page Count: 158
Sponsoring Agency: Lazar Institute
McLean, VA 22101
National Institute of Justice (NIJ)
Washington, DC 20531
US Dept of Justice NIJ Pub
Washington, DC 20531
Grant Number: 80-IJ-CX-K013
Dataset: DATASET 1
Type: Thesis/Dissertation
Format: Document
Language: English
Country: United States of America
Annotation: This study evaluated three employment services programs for ex-offenders: the Comprehensive Offender Employment Resource System in Boston, the Safer Foundation in Chicago, and Project Jove in San Diego.
Abstract: Data collected on 1,025 individuals included personal, criminal, and employment background; short (6 month) and long-term (2 year) recidivism; and employment services participation. Subjects were divided into three groups: experimental subjects who received more individualized and intensive followup services, a control group that received normal program services, and a nonrandom comparison group that received no services. Results of least-squares regression analysis failed to show significant differences in recidivism among subjects receiving intensive versus normal services, but program participants at the Chicago site did show significantly lower recidivism rates than those receiving no placement. Three of five demographic variables were significant predictors of recidivism: age (inversely related to recidivism in Boston and San Diego), race, and marital status. In general, results suggest that ex-offender employment programs have only a small impact on recidivism rates. Tabular data, an appendix, 75 footnotes, and 89 references are provided. (Author abstract modified)
Index Term(s): Arraignment; California; Corrections research; Employment-crime relationships; Ex-offender employment; Illinois; Massachusetts; Post-release programs; Recidivism prediction
Note: University of Maryland - masters thesis
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