Abstract
This study examined juvenile risk and program characteristics’ relative impact on the number of services provided to juveniles who exited Colorado diversion programs in the 1998-1999 fiscal year. Multivariate hierarchical linear modeling (HLM) analyses indicated program characteristics were generally stronger predictors of service provision than juvenile risk factors. However, some risk factors interacted with program characteristics to significantly predict service provision. Further examination of interaction effects revealed suggestions for successfully implementing modern rehabilitation models as well as for future evaluations of correctional programs. In particular, juvenile community corrections programs should enhance the breadth and depth of data collected for program evaluation and state audit purposes if administrators plan to demonstrate program efficacy.
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