Identifying male sexual offender subtypes using cluster analysis

dc.contributor.author	Jung, Sandy
dc.contributor.author	Ennis, Liam
dc.contributor.author	Buro, Karen
dc.date.accessioned	2015-05-29
dc.date.accessioned	2022-05-27T01:13:56Z
dc.date.available	2022-05-27T01:13:56Z
dc.date.issued	2014
dc.description.abstract	This study examines whether clinically meaningful subgroups could be identified within a large, undifferentiated group of convicted adult male sex offenders. Of eight cluster analyses, a reliable three-cluster solution emerged based on the subscores of the Static-2002R with 345 sex offenders. To establish the validity of the emergent clusters, the three groups of offenders were compared on four domains: Criminal history, psychosexual development, sexual attitudes and interests, and recidivism. The findings revealed meaningful differences among the group and the implications of subgroup membership is discussed in terms of risk, treatment, and supervision.
dc.format.extent	1.03 MB
dc.format.mimetype	PDF
dc.identifier.citation	Ennis, L., Buro, K., & Jung, S. (2014). Identifying male sexual offender subtypes using cluster analysis. Sexual Abuse: A Journal of Research and Treatment. March 20, 2014. doi: 10.1177/1079063214527481
dc.identifier.uri	https://hdl.handle.net/20.500.14078/320
dc.language	English
dc.language.iso	en
dc.rights	All Rights Reserved
dc.subject	cluster analysis
dc.subject	sex offenders
dc.subject	subtypes
dc.subject	Static-2002
dc.title	Identifying male sexual offender subtypes using cluster analysis	en
dc.type	Article Post-Print
dspace.entity.type

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