Will history repeat itself? Growth mixture modeling of suspected serial sexual offending using forensic DNA evidence
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DOI: 10.1016/j.jcrimjus.2019.01.004
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- Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
- Wang, Chen-Pin & Hendricks Brown, C. & Bandeen-Roche, Karen, 2005. "Residual Diagnostics for Growth Mixture Models: Examining the Impact of a Preventive Intervention on Multiple Trajectories of Aggressive Behavior," Journal of the American Statistical Association, American Statistical Association, vol. 100, pages 1054-1076, September.
- Lovell, Rachel & Luminais, Misty & Flannery, Daniel J. & Overman, Laura & Huang, Duoduo & Walker, Tiffany & Clark, Dan R., 2017. "Offending patterns for serial sex offenders identified via the DNA testing of previously unsubmitted sexual assault kits," Journal of Criminal Justice, Elsevier, vol. 52(C), pages 68-78.
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Cited by:
- Shaw, Jessica & Coates, Victoria & Janulis, Patrick, 2020. "High rates of sexual assault kit submission and the important role of place," Journal of Criminal Justice, Elsevier, vol. 67(C).
- Strom, Kevin & Scott, Thomas & Feeney, Hannah & Young, Amanda & Couzens, Lance & Berzofsky, Marcus, 2021. "How much justice is denied? An estimate of unsubmitted sexual assault kits in the United States," Journal of Criminal Justice, Elsevier, vol. 73(C).
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Keywords
Sexual assault; Rape; Sexual assault kit (SAK); Growth mixture models; Latent class analysis; Serial sexual offending;All these keywords.
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