{"title":"Static-99R在不同种族/民族群体中的预测准确性:一项荟萃分析。","authors":"Simran Ahmed, Seung C Lee, L Maaike Helmus","doi":"10.1037/lhb0000517","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The overrepresentation of numerous racial/ethnic groups in the criminal legal system warrants examination of the cross-cultural applicability of risk assessment tools. Static-99R is a tool used in diverse countries to assess sexual recidivism risk. We conducted a meta-analysis on the predictive accuracy of Static-99R across different racial/ethnic groups.</p><p><strong>Hypotheses: </strong>No hypotheses were made regarding discrimination, given that past research could support hypotheses of differential or equivalent accuracy. We hypothesized that Indigenous individuals would score higher on Static-99R than non-Indigenous or White individuals.</p><p><strong>Method: </strong>Our search identified 18 eligible documents (from 17 distinct studies) with 41 nonoverlapping effect sizes. These 17 studies examined the predictive accuracy of Static-99R with racially/ethnically diverse men charged with or convicted of sexually motivated offenses. We report analyses using both fixed-effect and random-effects meta-analysis.</p><p><strong>Results: </strong>Indigenous and Black individuals scored significantly higher on Static-99R than their non-Indigenous or White counterparts, with small effect sizes. For discrimination, area under the curve (AUC) values were generally moderate-to-large and statistically significant for all groups in both fixed-effect and random-effects analyses. Within-study subgroup analyses indicated significantly lower accuracy for Indigenous and Hispanic individuals compared with White/non-Indigenous samples (though for Hispanic individuals, this finding was significant only in the fixed-effect analyses). No statistically significant differences in accuracy were found between White and Black individuals. Static-99R significantly predicted recidivism with large effect sizes across two samples of Asian individuals. Two studies supported calibration across Black, White, and Hispanic individuals. Two studies examining calibration of Static-99R for Indigenous individuals had mixed findings.</p><p><strong>Conclusions: </strong>Given a small number of studies and limitations with both the fixed- and random-effects analyses, readers should interpret findings regarding Hispanic individuals with caution. The analyses clearly found significant but lower accuracy for Static-99R with Indigenous individuals. Potential reasons for this differential accuracy are discussed, along with limitations of the meta-analysis and suggestions for research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>","PeriodicalId":48230,"journal":{"name":"Law and Human Behavior","volume":"47 1","pages":"275-291"},"PeriodicalIF":2.4000,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Predictive accuracy of Static-99R across different racial/ethnic groups: A meta-analysis.\",\"authors\":\"Simran Ahmed, Seung C Lee, L Maaike Helmus\",\"doi\":\"10.1037/lhb0000517\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The overrepresentation of numerous racial/ethnic groups in the criminal legal system warrants examination of the cross-cultural applicability of risk assessment tools. Static-99R is a tool used in diverse countries to assess sexual recidivism risk. We conducted a meta-analysis on the predictive accuracy of Static-99R across different racial/ethnic groups.</p><p><strong>Hypotheses: </strong>No hypotheses were made regarding discrimination, given that past research could support hypotheses of differential or equivalent accuracy. We hypothesized that Indigenous individuals would score higher on Static-99R than non-Indigenous or White individuals.</p><p><strong>Method: </strong>Our search identified 18 eligible documents (from 17 distinct studies) with 41 nonoverlapping effect sizes. These 17 studies examined the predictive accuracy of Static-99R with racially/ethnically diverse men charged with or convicted of sexually motivated offenses. We report analyses using both fixed-effect and random-effects meta-analysis.</p><p><strong>Results: </strong>Indigenous and Black individuals scored significantly higher on Static-99R than their non-Indigenous or White counterparts, with small effect sizes. For discrimination, area under the curve (AUC) values were generally moderate-to-large and statistically significant for all groups in both fixed-effect and random-effects analyses. Within-study subgroup analyses indicated significantly lower accuracy for Indigenous and Hispanic individuals compared with White/non-Indigenous samples (though for Hispanic individuals, this finding was significant only in the fixed-effect analyses). No statistically significant differences in accuracy were found between White and Black individuals. Static-99R significantly predicted recidivism with large effect sizes across two samples of Asian individuals. Two studies supported calibration across Black, White, and Hispanic individuals. Two studies examining calibration of Static-99R for Indigenous individuals had mixed findings.</p><p><strong>Conclusions: </strong>Given a small number of studies and limitations with both the fixed- and random-effects analyses, readers should interpret findings regarding Hispanic individuals with caution. The analyses clearly found significant but lower accuracy for Static-99R with Indigenous individuals. Potential reasons for this differential accuracy are discussed, along with limitations of the meta-analysis and suggestions for research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).</p>\",\"PeriodicalId\":48230,\"journal\":{\"name\":\"Law and Human Behavior\",\"volume\":\"47 1\",\"pages\":\"275-291\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Law and Human Behavior\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.1037/lhb0000517\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"LAW\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Law and Human Behavior","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1037/lhb0000517","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"LAW","Score":null,"Total":0}
Predictive accuracy of Static-99R across different racial/ethnic groups: A meta-analysis.
Objective: The overrepresentation of numerous racial/ethnic groups in the criminal legal system warrants examination of the cross-cultural applicability of risk assessment tools. Static-99R is a tool used in diverse countries to assess sexual recidivism risk. We conducted a meta-analysis on the predictive accuracy of Static-99R across different racial/ethnic groups.
Hypotheses: No hypotheses were made regarding discrimination, given that past research could support hypotheses of differential or equivalent accuracy. We hypothesized that Indigenous individuals would score higher on Static-99R than non-Indigenous or White individuals.
Method: Our search identified 18 eligible documents (from 17 distinct studies) with 41 nonoverlapping effect sizes. These 17 studies examined the predictive accuracy of Static-99R with racially/ethnically diverse men charged with or convicted of sexually motivated offenses. We report analyses using both fixed-effect and random-effects meta-analysis.
Results: Indigenous and Black individuals scored significantly higher on Static-99R than their non-Indigenous or White counterparts, with small effect sizes. For discrimination, area under the curve (AUC) values were generally moderate-to-large and statistically significant for all groups in both fixed-effect and random-effects analyses. Within-study subgroup analyses indicated significantly lower accuracy for Indigenous and Hispanic individuals compared with White/non-Indigenous samples (though for Hispanic individuals, this finding was significant only in the fixed-effect analyses). No statistically significant differences in accuracy were found between White and Black individuals. Static-99R significantly predicted recidivism with large effect sizes across two samples of Asian individuals. Two studies supported calibration across Black, White, and Hispanic individuals. Two studies examining calibration of Static-99R for Indigenous individuals had mixed findings.
Conclusions: Given a small number of studies and limitations with both the fixed- and random-effects analyses, readers should interpret findings regarding Hispanic individuals with caution. The analyses clearly found significant but lower accuracy for Static-99R with Indigenous individuals. Potential reasons for this differential accuracy are discussed, along with limitations of the meta-analysis and suggestions for research and practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
期刊介绍:
Law and Human Behavior, the official journal of the American Psychology-Law Society/Division 41 of the American Psychological Association, is a multidisciplinary forum for the publication of articles and discussions of issues arising out of the relationships between human behavior and the law, our legal system, and the legal process. This journal publishes original research, reviews of past research, and theoretical studies from professionals in criminal justice, law, psychology, sociology, psychiatry, political science, education, communication, and other areas germane to the field.