Predicting retention of drug court participants using event history analysis

Elaine M. Wolf; Kathryn A. Sowards; Douglas A. Wolf

doi:10.1300/J076v37n03_08

Predicting retention of drug court participants using event history analysis

Elaine M. Wolf, Kathryn A. Sowards, Douglas A. Wolf

Research output: Contribution to journal › Article › peer-review

30 Scopus citations

Abstract

This paper presents the results of a discrete-time event-history analysis of the relationships between client and program characteristics and the length and outcome of participation in a drug court program. We identify factors associated with both successful completion and premature termination. Having an African-American case manager, being older, having little criminal history, and not being a user of crack cocaine are strongly predictive of successfully completing the program. Predicted probabilities of successful completion ranged from 0.16, in the most pessimistic scenario, to 0.88 for the most optimistic scenario.

Original language	English (US)
Pages (from-to)	139-162
Number of pages	24
Journal	Journal of Offender Rehabilitation
Volume	37
Issue number	3-4
DOIs	https://doi.org/10.1300/J076v37n03_08
State	Published - Nov 2003

Keywords

Case management
Criminal sanctions
Drug courts
Event history analysis
Logistic regression
Substance abuse treatment
Treatment retention

ASJC Scopus subject areas

Rehabilitation
Law

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10.1300/J076v37n03_08

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title = "Predicting retention of drug court participants using event history analysis",

abstract = "This paper presents the results of a discrete-time event-history analysis of the relationships between client and program characteristics and the length and outcome of participation in a drug court program. We identify factors associated with both successful completion and premature termination. Having an African-American case manager, being older, having little criminal history, and not being a user of crack cocaine are strongly predictive of successfully completing the program. Predicted probabilities of successful completion ranged from 0.16, in the most pessimistic scenario, to 0.88 for the most optimistic scenario.",

keywords = "Case management, Criminal sanctions, Drug courts, Event history analysis, Logistic regression, Substance abuse treatment, Treatment retention",

author = "Wolf, {Elaine M.} and Sowards, {Kathryn A.} and Wolf, {Douglas A.}",

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AU - Sowards, Kathryn A.

AU - Wolf, Douglas A.

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N2 - This paper presents the results of a discrete-time event-history analysis of the relationships between client and program characteristics and the length and outcome of participation in a drug court program. We identify factors associated with both successful completion and premature termination. Having an African-American case manager, being older, having little criminal history, and not being a user of crack cocaine are strongly predictive of successfully completing the program. Predicted probabilities of successful completion ranged from 0.16, in the most pessimistic scenario, to 0.88 for the most optimistic scenario.

AB - This paper presents the results of a discrete-time event-history analysis of the relationships between client and program characteristics and the length and outcome of participation in a drug court program. We identify factors associated with both successful completion and premature termination. Having an African-American case manager, being older, having little criminal history, and not being a user of crack cocaine are strongly predictive of successfully completing the program. Predicted probabilities of successful completion ranged from 0.16, in the most pessimistic scenario, to 0.88 for the most optimistic scenario.

KW - Case management

KW - Criminal sanctions

KW - Drug courts

KW - Event history analysis

KW - Logistic regression

KW - Substance abuse treatment

KW - Treatment retention

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ER -

Predicting retention of drug court participants using event history analysis

Abstract

Keywords

ASJC Scopus subject areas

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