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

Rebecca E. Romine, Michael H Miner, Dominic Poulin, S. Margretta Dwyer, Dianne R Berg

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)501-514
Number of pages14
JournalSexual Abuse
Issue number5
StatePublished - Oct 2012


  • Static-99
  • recidivism
  • risk assessment
  • sexual offender
  • sexual offender treatment


Dive into the research topics of 'Predicting Reoffense for Community-Based Sexual Offenders: An Analysis of 30 Years of Data'. Together they form a unique fingerprint.

Cite this