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一种用于预测初次犯罪的精算风险评估工具的开发与验证

The Development and Validation of an Actuarial Risk Assessment Tool for the Prediction of First-Time Offending.

作者信息

Assink Mark, van der Put Claudia E, Stams Geert Jan J M

机构信息

University of Amsterdam, The Netherlands

University of Amsterdam, The Netherlands.

出版信息

Int J Offender Ther Comp Criminol. 2016 May;60(7):847-64. doi: 10.1177/0306624X14558204. Epub 2014 Nov 12.

Abstract

For prevention purposes, it is important that police officers can estimate the risk for delinquency among juveniles who were involved in a criminal offense, but not in the role of a suspect. In the present study, the Youth Actuarial Risk Assessment Tool for First-Time Offending (Y-ARAT-FO) was developed based solely on police records with the aim to enable Dutch police officers to predict the risk for first-time offending. For the construction of this initial screening instrument, an Exhaustive Chi-squared Automatic Interaction Detector (Exhaustive CHAID) analysis was performed on a data set that was retrieved from the Dutch police system. The Y-ARAT-FO was developed on a sample of 1,368 juveniles and validated on a different sample of 886 juveniles showing moderate predictive accuracy in the validation sample (area under the receiver operating characteristic curve [AUC] = .728). The predictive accuracy of the Y-ARAT-FO was considered sufficient to justify its use as an initial screening instrument by the Dutch police.

摘要

出于预防目的,警察能够评估涉及刑事犯罪但并非嫌疑人角色的青少年的犯罪风险非常重要。在本研究中,首次犯罪青年精算风险评估工具(Y-ARAT-FO)完全基于警方记录开发,旨在使荷兰警察能够预测首次犯罪的风险。为构建这一初步筛查工具,对从荷兰警察系统检索到的数据集进行了详尽的卡方自动交互检测器(Exhaustive CHAID)分析。Y-ARAT-FO是在1368名青少年样本上开发的,并在886名不同的青少年样本上进行了验证,在验证样本中显示出中等的预测准确性(受试者操作特征曲线下面积[AUC]=0.728)。Y-ARAT-FO的预测准确性被认为足以证明荷兰警方将其用作初步筛查工具的合理性。

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