{"title":"Examining the Predictive Validity of the Static-99R on Native American Sex Offenders","authors":"Andrew J. Myer","doi":"10.1080/24751979.2019.1636614","DOIUrl":null,"url":null,"abstract":"Abstract No study to date has evaluated the predictive validity of the Static-99R on a sample of Native American sex offenders. This study provides such an investigation. Findings reveal the Static-99R demonstrates small predictive validity for new sexual recidivism charges (AUC = 0.599) at five years for all offenders. However, the predictive validity for the sample of Native American sex offenders reaches moderate predictive validity (AUC = 0.672) when examined separately. Additional metrics beyond area under the curve analyses are used to assess the three dimensions of predictive validity: accuracy, discrimination, and calibration. Implications of the findings are discussed.","PeriodicalId":41318,"journal":{"name":"Justice Evaluation Journal","volume":"48 1","pages":"181 - 195"},"PeriodicalIF":1.3000,"publicationDate":"2019-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Justice Evaluation Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/24751979.2019.1636614","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 1
Abstract
Abstract No study to date has evaluated the predictive validity of the Static-99R on a sample of Native American sex offenders. This study provides such an investigation. Findings reveal the Static-99R demonstrates small predictive validity for new sexual recidivism charges (AUC = 0.599) at five years for all offenders. However, the predictive validity for the sample of Native American sex offenders reaches moderate predictive validity (AUC = 0.672) when examined separately. Additional metrics beyond area under the curve analyses are used to assess the three dimensions of predictive validity: accuracy, discrimination, and calibration. Implications of the findings are discussed.