Modeling the Referral Decision in Sexual Assault Cases: An Application of Random Forests

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This paper examines the decision to refer a sexual assault case for prosecution using a sample of 730 reported sexual assaults in which the victim received a medical/forensic examination. The decision to refer a case for prosecution was modeled using an algorithmic modeling technique, Random Forests...

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Bibliographic Details
Main Author: Snodgrass, G. Matthew (Author)
Contributors: Rosay, André B. ; Gover, Angela R.
Format: Electronic Article
Language:English
Published: 2014
In: American journal of criminal justice
Year: 2014, Volume: 39, Issue: 2, Pages: 267-291
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Keywords:
Case processing
sexual assault
Algorithmic modeling
Random forests