Probation and Parole Supervision: A Review of Current Classification Practices
Crime & DelinquencyPublished 1 July 1985
Todd R. Clear, Kenneth W. Gallagher
Citations44
SJR quartileQ1
SJR score0.84
SNIP1.25
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
In the last decade, classification systems have become more common in probation and parole agencies. However, the potential benefits of classification have not been achieved in many agencies because the classification process is often misunderstood. In order to obtain the maximum benefits from the classification process, managers need to approach classification as a tool designed for their own particular organization's needs.
Keywords
Social SciencesComputer Science
Michigan Law ReviewStreet-Level Bureaucracy: Dilemmas of the Individual in Public Services
4,517 Citations1981Michael Lipsky
CriminologyUniversal Applicability of Probation Risk‐Assessment Instruments
72 Citations1984Kevin N. Wright, Todd R. Clear +1 more
It was found that many of the variables contained in the instrument did not predict risk for the sample, and the general weakness of statistically derived models is noted.
Probation, Parole, and Community Corrections
41 Citations2017Robert M. Carter
Management information systems
21 Citations1965James R. Zieglar
MODULARITY—a requirement in computer hardware for several years—has now become a property of software.
Evaluation ReviewScreening Devices in Probation and Parole
18 Citations1983Todd R. Clear, Kenneth W. Gallagher
Journal of Research in Crime and DelinquencyComputing Mean Cost Ratings (MCR)
10 Citations1973James A. Inciardi, Dean V. Babst +1 more
The Mean Cost Rating is explained and a simplified procedure for using it is offered and it is compared with Chi square, the J-value, and the Index of Predictive Selectivity, which have also been used to determine the selective ability of factors in the construction of prediction tables.
