Predicting Retention in Drug Court: The Effects of Static and Dynamic Factors on Program Completion

John R. Hepburn, Arizona State University
Angela Harvey, Arizona State University

Drug Courts have been widely adopted as a response to the large numbers of drug using offenders. While these courts offer an alternative model of treatment intervention which may prove beneficial to those exposed to treatment, as many as half of those assigned to court fail to complete the program. Our analysis of nearly 500 adults sentenced to Drug Court in Maricopa County, Arizona during 2001 uses logit regression to identify the static and dynamic predictors of successful program completion. The findings suggest that the threat of legal sanctions is insufficient to coerce program completion among offenders, and that attention should be given to those factors which better predict program participation.

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Updated 05/20/2006