Prins Seth J, Reich Adam
Columbia University, Departments of Epidemiology and Sociomedical Sciences.
Columbia University, Department of Sociology.
Punishm Soc. 2021 Oct;23(4):578-604. doi: 10.1177/14624745211025751. Epub 2021 Jun 30.
A vast body of research underlies the ascendancy of criminogenic risk assessment, which was developed to predict recidivism. It is unclear, however, whether the empirical evidence supports its expansion across the criminal legal system. This meta-review thus attempts to answer the following questions: 1) How well does criminogenic risk assessment differentiate people who are at high risk of recidivism from those at low risk of recidivism? 2) How well do researchers' conclusions about match the empirical evidence? 3) Does the empirical evidence support the theory, policy, and practice recommendations that researchers make based on their conclusions? A systematic literature search identified 39 meta-analyses and systematic reviews that met inclusion criteria. Findings from these meta-analyses and systematic reviews are summarized and synthesized, and their interpretations are critically assessed. We find that criminogenic risk assessment's predictive performance is based on inappropriate statistics, and that conclusions about the evidence are inconsistent and often overstated. Three thematic areas of inferential overreach are identified: contestable inferences from criminalization to criminality, from prediction to explanation, and from prediction to intervention. We conclude by exploring possible reasons for the mismatch between proponents' conclusions and the evidence, and discuss implications for policy and practice.
大量研究支撑了犯罪ogenic风险评估的优势地位,该评估旨在预测再犯情况。然而,尚不清楚实证证据是否支持其在刑事法律系统中的扩展。因此,本元综述试图回答以下问题:1)犯罪ogenic风险评估在区分高再犯风险人群和低再犯风险人群方面表现如何?2)研究人员关于[此处原文似乎缺失部分内容]的结论与实证证据的匹配程度如何?3)实证证据是否支持研究人员基于其结论提出的理论、政策和实践建议?系统的文献检索确定了39项符合纳入标准的元分析和系统综述。对这些元分析和系统综述的结果进行了总结和综合,并对其解释进行了批判性评估。我们发现,犯罪ogenic风险评估的预测性能基于不恰当的统计数据,而且关于证据的结论不一致且往往夸大其词。确定了三个推断过度的主题领域:从定罪到犯罪、从预测到解释以及从预测到干预的可争议推断。我们通过探讨支持者结论与证据之间不匹配的可能原因来得出结论,并讨论对政策和实践的影响。