A profiling model for unknown sexual offenders that assault in the entrance of buildings

Abstract

This paper aims at analysing the features of the perpetrators of sexual assaults whose modus operandi consists of assaulting the victim in doorways or entrances of garage and buildings. Its objective was to determine whether it is possible to predict these features moving from the information regarding the crime scene, by means of analysing solved cases. Moving from the content of convicting judgments issued in Spain, and by applying statistical tests of chi-square, odds-ratio, and binary logistic regression, we have obtained encouraging results, in that some variables in the crime scene allow to predict some features of these offenders. Since the variables of the crime scene that have been used here are known to the police team at the beginning of the investigation, prediction of the sexual offender’s features could be useful to prioritize suspects.