A meta-analysis of the predictors of adult offender recidivism: What works
A meta-analysis of the predictors of adult offender recidivism: What works
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DOI：
10.1111/j.1745-9125.1996.tb01220.x
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发表时间：
1996-11-01
期刊：
影响因子：
5.8
通讯作者：
Goggin, C
中科院分区：
文献类型：
--
作者：
Gendreau, P;Little, T;Goggin, C
元分析技术被用来确定哪些预测域和精算评估工具是最好的预测成年罪犯累犯。131项研究得出了1,141项与累犯的相关性。最强的预测域是犯罪需求，犯罪史/反社会行为史，社会成就，年龄/性别/种族和家庭因素。不太可靠的预测因素包括智力功能的个人困扰因素，以及家庭的社会经济地位。动态预测域的性能至少与静态域一样好。LSI-R被认为是最有用的精算措施。提出了制定完善的矫正评估做法的建议。
Meta-analytic techniques were used to determine which predictor domains and actuarial assessment instruments were the best predictors of adult offender recidivism. One hundred and thirty-one studies produced 1,141 correlations with recidivism. The strongest predictor domains were criminogenic needs, criminal history/history of antisocial behavior, social achievement, age/gender/race, and family factors. Less robust predictors included intellectual functioning personal distress factors, and socioeconomic status in the family of origin. Dynamic predictor domains performed at least as well as the static domains. The LSI-R was identified as the most useful actuarial measure. Recommendations for developing sound assessment practices in corrections are provided.