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NCJ Number: 184250 Find in a Library
Title: Evaluation of California's Inmate Classification System Using a Generalized Regression Discontinuity Design
Journal: Journal of the American Statistical Association  Volume:94  Issue:448  Dated:December 1999  Pages:1045-1052
Author(s): Richard A. Berk; Jan de Leeuw
Date Published: December 1999
Page Count: 8
Type: Program/Project Evaluation
Format: Article
Language: English
Country: United States of America
Annotation: This evaluation of the inmate classification system used by the California Department of Corrections (CDC) to allocated prisoners to different kinds of confinement used a generalized regression discontinuity design and data from 2,746 inmates admitted early in 1994.
Abstract: The research used a simple extension of regression discontinuity designs to involve binary response variables. The researchers chose the start date for data collection because it was the most recent time after which at least 18 months of follow-up data were available to consider inmate misconduct. The sample included virtually all the inmates sentenced under California’s recent three strikes legislation due to the CDC concern that three inmates might become difficult as a result of having little to lose. The study included 734 three-strike inmates. It also included 771 two-strike inmates, who had a prior conviction for a serious felony and were subject to automatic and large sentence-length enhancements. The existing classification scores usefully sort inmates by levels of risk and that placement in the highest security level may well reduce the odds of misconduct compared to placement in the lower three security levels. A large study using an experimental design and 20,000 inmates is now underway to address inmate classification and related issues. Tables and 19 references
Main Term(s): Corrections management
Index Term(s): California; Inmate classification; Inmate misconduct; Legislative impact; Regression analysis; Research methods; Services effectiveness
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