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Will History Repeat Itself? Growth Mixture Modeling of Suspected Serial Sexual Offending Using Forensic DNA Evidence

NCJ Number
254191
Date Published
April 2019
Length
12 pages
Author(s)
Rebecca Campbell; Steven J. Pierce; Wenjuan Ma; Hannah Feeney; Rachael Goodman-Williams
Agencies
NIJ-Sponsored
Publication Type
Research (Applied/Empirical), Report (Study/Research), Report (Grant Sponsored), Program/Project Description
Grant Number(s)
2014-NE-BX-0006
Annotation
This study used both criminal history records and forensic DNA evidence from sexual assault kits (SAKs; also termed 'rape kit') to identity a sample of 392 serial sex offenders, all of whom were suspected of committing two or more sexual assaults.
Abstract
Sex offenders often commit more than one sexual assault, but there is variability in how many assaults they commit and in what pattern over time. Trajectory modeling studies typically use criminal history records as a data source to model perpetrators' sexual assault convictions, but this may underestimate the scope of offending, because so few sexual assaults result in a conviction. The current study used growth mixture models to identify and validate a four-class model of suspected serial sex offending that spanned ages 16 to 60. The four classes varied in the overall number of sexual assaults committed by each perpetrator and the ages of peak offending. All classes included sexual assaults identified through rape kit testing and through criminal history records. The study concludes that forensic DNA testing of rape kits can help identify suspected serial sexual offenders. DNA testing plus criminal history searches on identified offenders as standard investigation practice would provide police with a more complete picture of offenders' criminal behavior. (publisher abstract modified)
Date Created: July 20, 2021