Abstract Prevailing correctional practice holds that offenders should be assigned to interventions on the basis of assessments for risk, needs, and responsivity. Assessments of responsivity, however, typically consist of little more than a checklist of items such as motivation, gender, language, or culture. We introduce a new actuarial approach for assessing responsivity, which focuses on predicting whether individuals will desist after participating in an intervention. We assess responsivity by using multiple classification methods and predictive performance metrics to analyze various approaches for prioritizing individuals for correctional interventions. The results suggest that adding an actuarial responsivity assessment to the existing risk and needs assessments would likely improve treatment assignments and further enhance the effectiveness of an effective intervention. We conclude by discussing the implications of more rigorous responsivity assessments for correctional research, policy, and practice.

中文翻译：

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风险需求响应模型中被忽略的“ R”：一种评估矫正干预响应性的新方法

摘要普遍存在的矫正做法认为，应根据对风险，需求和反应的评估，将罪犯分配到干预措施中。但是，对响应度的评估通常只包含一个清单，例如动机，性别，语言或文化。我们引入了一种新的精算方法来评估响应度，该方法侧重于预测个人在参与干预后是否会停滞。我们通过使用多种分类方法和预测性绩效指标来分析各种方法，以对个人进行矫正干预的优先次序进行评估，从而评估响应能力。结果表明，在现有的风险和需求评估中添加精算响应度评估可能会改善治疗方案，并进一步提高有效干预措施的有效性。最后，我们讨论了更严格的响应度评估对惩戒研究，政策和实践的影响。