Related Experiment Video
Updated: May 21, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Predicting reoffense for community-based sexual offenders: an analysis of 30 years of data
Rebecca E Swinburne Romine1, Michael H Miner, Dominic Poulin
1University of Minnesota, Minneapolis, MN 55454, USA. swin0024@umn.edu
Abstract:
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.
Related Concept Videos
Longitudinal Research
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Psychological and Sociocultural Causes of Schizophrenia
Regression Toward the Mean
Longitudinal Studies
Sex Linked Disorders

