EconPapers    
Economics at your fingertips  
 

Will history repeat itself? Growth mixture modeling of suspected serial sexual offending using forensic DNA evidence

Rebecca Campbell, Steven J. Pierce, Wenjuan Ma, Hannah Feeney, Rachael Goodman-Williams and Dhruv B. Sharma

Journal of Criminal Justice, 2019, vol. 61, issue C, 1-12

Abstract: Sexual 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.

Keywords: Sexual assault; Rape; Sexual assault kit (SAK); Growth mixture models; Latent class analysis; Serial sexual offending (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0047235218304586
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jcjust:v:61:y:2019:i:c:p:1-12

DOI: 10.1016/j.jcrimjus.2019.01.004

Access Statistics for this article

Journal of Criminal Justice is currently edited by Matthew DeLisi

More articles in Journal of Criminal Justice from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:jcjust:v:61:y:2019:i:c:p:1-12