• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar

information for practice

news, new scholarship & more from around the world


advanced search
  • gary.holden@nyu.edu
  • @ Info4Practice
  • Archive
  • About
  • Help
  • Browse Key Journals
  • RSS Feeds

Predicting Reoffense for Community-Based Sexual Offenders: An Analysis of 30 Years of Data

This study contributes to the area of risk prediction by exploring whether the Static-99R is useful for predicting reoffense in community-based samples, and for noncontact offenders with and without identified victims. A total of 744 participants drawn from an outpatient sex offender treatment program in a large metropolitan area were followed for a period of up to 30 years. Multiple Cox Regressions were run; covariates included length of treatment, status in treatment, Static-99R items, and number of technical probation violations. Overall, reoffending was an infrequent occurrence in this sample regardless of how it was defined, with sexual reoffenses identified in 13% of the sample and any criminal reoffense identified in 20% of the sample. Consistent with previous research, the Static-99R was a better predictor of sex-related reoffenses than of nonsexual reoffenses. However, in no case were more than a couple of the items significantly related to reoffending and these items differed depending on reoffense definition.

Posted in: Journal Article Abstracts on 05/30/2012 | Link to this post on IFP |
Share

Primary Sidebar

Categories

Category RSS Feeds

  • Calls & Consultations
  • Clinical Trials
  • Funding
  • Grey Literature
  • Guidelines Plus
  • History
  • Infographics
  • Journal Article Abstracts
  • Meta-analyses - Systematic Reviews
  • Monographs & Edited Collections
  • News
  • Open Access Journal Articles
  • Podcasts
  • Video

© 1993-2025 Dr. Gary Holden. All rights reserved.

gary.holden@nyu.edu
@Info4Practice