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Two Models for Predicting Recidivism - Clinical Versus Statistical - Another View

NCJ Number
102706
Journal
British Journal of Criminology Volume: 26 Issue: 3 Dated: (July 1986) Pages: 270-286
Author(s)
Y Hassin
Date Published
1986
Length
17 pages
Annotation
This Israeli study investigated the efficiency of two methods of predicting parole outcome: clinical prediction and statistical prediction.
Abstract
The clinical prediction method relies upon a clinical analysis of the characteristics and circumstances of each person considered for parole. The statistical prediction method relies on quantifiable variables identified from the prior parole outcomes of offenders. Inmates rating high on variables associated with recidivism are not granted parole. From June 1978 through December 1979, the Israel Individual Pardons Boards reviewed the files of 1,897 inmates. This study collected data on the boards' recommendations, inmate sociodemographic characteristics, the current offense, criminal record, and variables concerning the release. In the study's first stage, the link between the dependent variables (the boards' recommendations) and the other four groups of variables was examined. At the second stage, recidivism data on the 622 released inmates were analyzed. When the dependent variable was recidivism after release, the statistical prediction was more reliable than clinical prediction. 3 tables and 29 references.