首页> 外文期刊>Law and Human Behavior >Predicting Sex Offender Recidivism. I. Correcting for Item Overselection and Accuracy Overestimation in Scale Development. II. Sampling Error-Induced Attenuation of Predictive Validity Over Base Rate Information
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Predicting Sex Offender Recidivism. I. Correcting for Item Overselection and Accuracy Overestimation in Scale Development. II. Sampling Error-Induced Attenuation of Predictive Validity Over Base Rate Information

机译:预测性犯罪再犯。 I.纠正量表开发中的项目过度选择和准确性高估。二。抽样误差导致的对基础利率信息的预测有效性的衰减

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The authors demonstrate a statistical bootstrapping method for obtaining unbiased item selection and predictive validity estimates from a scale development sample, using data (N = 256) of Epperson et al. [2003 Minnesota Sex Offender Screening Tool—Revised (MnSOST—R) technical paper: Development, validation, and recommended risk level cut scores. Retrieved November 18, 2006 from Iowa State University Department of Psychology web site: http://www.psychology.iastate.edu/∼dle/mnsost_download.htm] from which the Minnesota Sex Offender Screening Tool—Revised (MnSOST—R) was developed. Validity (area under receiver operating characteristic curve) reported by Epperson et al. was .77 with 16 items selected. The present analysis yielded an asymptotically unbiased estimator AUC = .58. The present article also focused on the degree to which sampling error renders estimated cutting scores (appropriate to local [varying] recidivism base rates) nonoptimal, so that the long-run performance (measured by correct fraction, the total proportion of correct classifications) of these estimated cutting scores is poor, when they are applied to their parent populations (having assumed values for AUC and recidivism rate). This was investigated by Monte Carlo simulation over a range of AUC and recidivism rate values. Results indicate that, except for the AUC values higher than have ever been cross-validated, in combination with recidivism base rates severalfold higher than the literature average [Hanson and Morton-Bourgon, 2004, Predictors of sexual recidivism: An updated meta-analysis. (User report 2004-02.). Ottawa: Public Safety and Emergency Preparedness Canada], the user of an instrument similar in performance to the MnSOST—R cannot expect to achieve correct fraction performance notably in excess of what is achievable from knowing the population recidivism rate alone. The authors discuss the legal implications of their findings for procedural and substantive due process in relation to state sexually violent person commitment statutes and the Supreme Court’s Kansas v. Hendricks decision regarding the constitutionality of such statutes.
机译:作者展示了一种统计自举方法,该方法使用Epperson等人的数据(N = 256)从规模发展样本中获得无偏项选择和预测效度估计。 [2003年,明尼苏达州性犯罪者筛查工具-修订版(MnSOST-R)技术论文:开发,验证和推荐的降低风险水平的评分。自2006年11月18日从爱荷华州立大学心理学系网站检索:http://www.psychology.iastate.edu/~dle/mnsost_download.htm],明尼苏达州性犯罪者筛查工具(修订版)(MnSOST-R)来自发达。 Epperson等人报告了有效性(在接收器工作特性曲线下的面积)。是.77,选择了16个项目。本分析得出了一个渐近无偏估计量AUC = .58。本文还关注采样误差使估计切割分数(适合于当地[可变]累犯基准率)非最佳的程度,因此长期性能(由正确分数,正确分类的总比例衡量)当将这些估计的切割分数应用于其父母群体时(具有AUC和累犯率的假定值),效果很差。通过蒙特卡洛模拟对一系列AUC和累犯率值进行了调查。结果表明,除了AUC值比以往任何时候都可以交叉验证之外,再犯的基本率比文献中的平均值高出几倍[Hanson和Morton-Bourgon,2004年,性累犯的预测因素:最新的荟萃分析。 (用户报告2004-02。)。渥太华:加拿大公共安全与应急准备组织],使用性能与MnSOST-R类似的仪器的用户,不能指望达到正确的分数性能,其性能远远超过仅了解人口累犯率即可达到的水平。作者讨论了他们的调查结果对与州性暴力行为者承担性法规相关的程序性和实质性正当程序的法律意义,以及最高法院关于此类法规的合宪性的堪萨斯诉亨德里克斯判决。

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