Resource type
Date created
2012-10
Authors/Contributors
Abstract
Several risk assessment tools, including the Juvenile Sex Offender Assessment Protocol-II (Prentky & Righthand, 2003), the Estimate of Risk of Adolescent Sexual Offense Recidivism (Worling & Curwen, 2001), the Juvenile Sexual Offense Recidivism Risk Assessment Tool-II (Epperson, ralston, Fowers, DeWitt, & Gore, 2006), and the Static-99 (Hanson & Thornton, 1999), have been used to assess reoffense risk among adolescents who have committed sexual offenses. Given that research on these tools has yielded somewhat mixed results, we empirically synthesized 33 published and unpublished studies involving 6,196 male adolescents who had committed a sexual offense. We conducted two separate meta-analyses, first with correlations and then with AUCs. Total scores on each of the tools significantly predicted sexual reoffending, with aggregated correlations ranging from .12 - .20 and aggregated area under the receiver operating characteristic curve (AUC) scores ranging from .64 - .67. In many cases, however, heterogeneity across studies was moderate to high. There were no significant differences between tools, and although the Static-99 was developed for adults, it achieved similar results as the adolescent tools. To help interpret these findings, results are compared to other meta-analyses of risk tools used in the area of violence risk assessment and in other fields.
Document
Published as
Viljoen, J.L., Mordell, S., and Beneteau, J.L. (2012). Prediction of adolescent sexual reoffending: A meta-analysis of the J-SOAP-II, ERASOR, J-SORRAT-II, and Static-99. Law and Human Behavior 36(5), 423-438. DOI: 10.1037/h0093938
Publication details
Document title
Prediction of Adolescent Sexual Reoffending: A Meta-Analysis of the J-SOAP-II, ERASOR, J-SORRAT-II, and Static-99
Date
2012
Volume
36
Issue
421-438
Publisher DOI
10.1037/h0093938
Copyright statement
Copyright is held by the author(s).
Scholarly level
Peer reviewed?
Yes
Funder
Funder (spn): Michael Smith Foundation for Health Research (MSFHR)
Language
English
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