It has been proposed that domestic violence offenders can be classified into distinct subgroups based on psychopathology and generality and severity of violence. This study examined a clinical sample of batterers to identify whether there were differences across batterer subtypes in regard to treatment completion, immediate treatment response, and recidivism. Indices of pathology, partner violence, and generalized violence were used to cluster analyze a sample of 175 batterers. The resulting three-cluster solution produced three different groups of batterers identified as generally violent/antisocial, borderline/ dysphoric, and family-only batterers. Results suggest that there are differences in treatment-related variables across batterer subtypes but that these differences also depend on the specific outcome variables and are not always consistent.

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This study proposed that domestic violence perpetrators in a clinical sample could be categorized into distinct subgroups and that a particular subgroup of batterers would exhibit sufficient psychopathic characteristics to be clinically meaningful. Participants were interviewed in order to gather a relevant social, familial, educational, criminal, and substance abuse history. They were then administered several psychological measures including the Psychopathy Checklist: Screening Version (PCL:SV). Results lent support to the empirical batterer typology identified by Holtzworth-Munroe, A., Meehan, J. C., Herron, K., Rehman, U., & Stuart, G. L. (2000). However, despite the presence of a more antisocial subgroup, psychopathy did not consistently differentiate among batterers across the measured dependent variables.

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Because the first antistalking statute was enacted in California in 1990, stalking research has been expanded immensely, yet been largely confined to exploring traditional pursuit tactics. This study instead examined the prevalence and correlates of cyberstalking behaviors while examining the phenomenon in a more inclusive manner than previous studies focusing on cyberstalking by including social networking avenues. In addition to a measure assessing cyberstalking-related behaviors, questionnaires assessing pathological aspects of personality, including attachment style, interpersonal jealousy, interpersonal violence, and anger were also provided to participants. Results indicate that, given preliminary evidence, cyberstalking-related behaviors are related to past measures of traditional stalking and cyberstalking, although prior attachment, jealousy, and violence issues within relationships are significant predictors of cyberstalking-related behaviors. In addition, unexpected gender differences emerged. For example, women admitted greater frequencies of cyberstalking perpetration than males, signaling that further research on frequency and motivation for cyberstalking among the sexes is necessary.