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Abstract
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PURPOSE
The purpose of this paper is to investigate whether it is possible to identify different types of sadistic offenders within a sample of sexual homicide offenders (SHOs).
Design/methodology/approach
The study addresses this research question through the use of two-step hierarchal cluster analysis and binary logistic regression utilizing a sample of 350 cases of sexual homicide from Canada.
Findings
Results from cluster analysis show that three groups emerge: a non-sadistic group, a mixed group that show evidence of some sadistic behavior and a sadistic group that have high levels of sadistic behavior. Additionally, the sadistic cluster was more likely to destroy or remove evidence at the crime scene than the mixed and non-sadistic cluster and was more likely to leave the victim's body at a deserted location than the non-sadistic cluster.
Originality/value
This is the first study to examine the dimensionality of sadism within a sample of SHOs.
© Emerald Publishing Limited 2017
Published by Emerald Publishing Limited
Language: en |