The day reporting center (DRC) has become an increasingly popular sentencing option in many states that are using more community-based alternatives to jail and prison sentences. To protect the community and improve the likelihood of rehabilitation, improving the quality of risk assessment and classification at the DRC is an essential task. In this regard, with data collected in Nebraska, the study sought to identify significant variables influencing both termination from a DRC program and recidivism. This study found that a number of significant risk and need variables (e.g., education, employment, and relapse prevention) had been overlooked by the current risk assessment. The authors provide an alternative risk assessment and classification scheme by calculating predictive probabilities of a client's termination and recidivism through the use of logistic regression models.
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