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NCJ Number: 99015 Find in a Library
Title: Predicting Outcomes of Mentally Disordered and Dangerous Offenders (From Prediction in Criminology, P 174-192, 1985, David P Farrington and Roger Tarling, ed. - See NCJ-99006)
Author(s): T Black; P Spinks
Date Published: 1985
Page Count: 19
Sponsoring Agency: State University of New York Press
Albany, NY 12207
Sale Source: State University of New York Press
90 State Street, Suite 700
Albany, NY 12207
United States of America
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: This retrospective study investigated the predictive utility of 24 variables (diagnostic, criminal and psychiatric history, psychometric, demographic, and relationship) in assessing the dangerousness of 128 mentally disordered, violent offenders discharged into the community between 1960 and 1965, and followed up for 5 years.
Abstract: The offenders had been considered fit for discharge according to the criteria based on the (1959) Mental Health Act for England and Wales. The variables most highly related to outcomes were previous convictions, previous psychiatric admissions, and type of offense (homicide or property offense/nonhomicide assault). Using stepwise multiple regression, prediction instruments were developed for the prediction of subsequent assaults, court appearances, psychiatric admissions, and time in the community. Of the 125 subjects, 13 subsequently committed a violent offense. The instrument for predicting subsequent assaults was able to identify approximately half of the reoffenders. Other outcomes, subsequent court appearances, and time in the community, but not subsequent psychiatric admissions, could be predicted with more accuracy. Such instruments can be helpful in identifying those particularly prone to fail, deciding whom to discharge, developing predischarge treatment programs, and allocating aftercare resources to those most in need. Tabular data and 35 references are included.
Index Term(s): Corrections research; Criminality prediction; Dangerousness; England; Mentally ill offenders; Prediction; Regression analysis; Research methods; Violent offenders; Wales
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