Although most risk assessment research has examined tools in the prediction of recidivism, there is a growing body of literature that investigates risk assessment in the prediction of successful community supervision. The Texas Risk Assessment System–Community Supervision Tool (TRAS-CST) was developed from the Ohio Risk Assessment System–Community Supervision Tool (ORAS-CST) but has not been examined to predict recidivism or probation compliance. The current study investigates the predictive validity of the TRAS screener and full versions when examining supervision compliance and recidivism among a sample of 462 individuals on probation. Findings support predictive validity of incarceration due to rule violations and new offenses during supervision using the TRAS versions, along with the domains of the TRAS-CST version, although the effect sizes were small to moderate. Results also indicate that the domain scores on the full TRAS may provide important intervention focus for officers supervising individuals on community supervision.

中文翻译：

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检查德克萨斯州风险评估系统预测社区监管合规性和累犯的效用

尽管大多数风险评估研究都检验了预测累犯的工具，但越来越多的文献研究了预测成功社区监督的风险评估。德克萨斯州风险评估系统 - 社区监督工具 (TRAS-CST) 是从俄亥俄州风险评估系统 - 社区监督工具 (ORAS-CST) 开发而来，但尚未经过检查以预测累犯或缓刑合规情况。当前的研究调查了 TRAS 筛选器和完整版本在检查 462 名缓刑人员样本的监管依从性和累犯情况时的预测有效性。研究结果支持使用 TRAS 版本以及 TRAS-CST 版本的领域在监管期间因违反规则和新犯罪而导致的监禁的预测有效性，尽管效果大小从小到中等。结果还表明，完整 TRAS 的领域分数可能为监督社​​区监督个人的官员提供重要的干预重点。