...
首页> 外文期刊>Assessment >Youth Actuarial Risk Assessment Tool (Y-ARAT): The Development of an Actuarial Risk Assessment Instrument for Predicting General Offense Recidivism on the Basis of Police Records
【24h】

Youth Actuarial Risk Assessment Tool (Y-ARAT): The Development of an Actuarial Risk Assessment Instrument for Predicting General Offense Recidivism on the Basis of Police Records

机译:青年精算风险评估工具(Y-ARAT):开发了一种基于警察记录来预测一般犯罪累犯的精算风险评估工具

获取原文
获取原文并翻译 | 示例
           

摘要

Estimating the risk for recidivism is important for many areas of the criminal justice system. In the present study, the Youth Actuarial Risk Assessment Tool (Y-ARAT) was developed for juvenile offenders based solely on police records, with the aim to estimate the risk of general recidivism among large groups of juvenile offenders by police officers without clinical expertise. On the basis of the Y-ARAT, juvenile offenders are classified into five risk groups based on (combinations of) 10 variables including different types of incidents in which the juvenile was a suspect, total number of incidents in which the juvenile was a suspect, total number of other incidents, total number of incidents in which co-occupants at the youth's address were suspects, gender, and age at first incident. The Y-ARAT was developed on a sample of 2,501 juvenile offenders and validated on another sample of 2,499 juvenile offenders, showing moderate predictive accuracy (area under the receiver-operating-characteristic curve =.73), with little variation between the construction and validation sample. The predictive accuracy of the Y-ARAT was considered sufficient to justify its use as a screening instrument for the police.
机译:估计累犯风险对于刑事司法系统的许多领域都很重要。在本研究中,仅根据警察记录为少年犯开发了青少年精算风险评估工具(Y-ARAT),目的是估计没有临床专门知识的警务人员在大批少年犯中普遍累犯的风险。根据Y-ARAT,根据10个变量(的组合)将青少年犯罪者分为5个风险组,包括不同类型的犯罪嫌疑人,未成年人犯罪嫌疑人,其他事件的总数,在青年住所中的同住者为第一次犯罪的嫌疑犯,性别和年龄的事件总数。 Y-ARAT是在2,501名少年犯的样本上开发的,并在2,499名少年犯的另一样本上进行了验证,显示出中等的预测准确性(接收者操作特征曲线下的区域= .73),在构造和验证之间几乎没有差异样品。人们认为,Y-ARAT的预测准确性足以证明其作为警察筛查工具的合理性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号