title: Prevalence and Predictors of Bidirectional Violence in Survivors of Intimate Partner Violence Residing at Shelters.
abstract: There has been a long-standing debate regarding whether or not there is gender symmetry in intimate partner violence (IPV); however, shelter samples have been understudied thus far. This study investigates the prevalence and predictors of IPV perpetration in a sample of 227 women in battered women's shelters. Participants were asked to complete a number of measures assessing demographics,Diagnostic and Statistical Manual of Mental Disorders(4th ed., text rev.;DSM-IV-TR) diagnoses, traumatic life events, and perpetration and victimization of IPV. Although the vast majority of women in this sample (93%) report perpetrating some form of IPV, few women endorsed violence that was not mutual (5.3%). Furthermore, for every type of IPV assessed, women were victimized significantly more than they perpetrated. Results also indicate that women's perpetration of IPV, and predictors of such perpetration, varied across type, severity, and measurement of violence. However, most IPV outcome variables were predicted by women's experience of victimization. Taken as a whole, these results support the assertion that context matters when examining the relative rates of perpetration as well as its predictors.
authors.affiliation: 1 The University of Akron, OH, USA.
authors.forename: Samantha C
authors.initials: SC
authors.lastname: Holmes
authors.affiliation: 2 Lehigh University, Bethlehem, PA, USA.
authors.forename: Nicole L
authors.initials: NL
authors.lastname: Johnson
authors.affiliation: 1 The University of Akron, OH, USA.
authors.forename: Elsa E
authors.initials: EE
authors.lastname: Rojas-Ashe
authors.affiliation: 1 The University of Akron, OH, USA.
authors.forename: Taylor L
authors.initials: TL
authors.lastname: Ceroni
authors.affiliation: 1 The University of Akron, OH, USA.
authors.forename: Katherine M
authors.initials: KM
authors.lastname: Fedele
authors.affiliation: 1 The University of Akron, OH, USA.
authors.forename: Dawn M
authors.initials: DM
authors.lastname: Johnson
mesh_terms: D000328:Adult; D018585:Battered Women / Q000523:psychology* / Q000706:statistics & numerical data*; D019548:Crime Victims / Q000523:psychology / Q000706:statistics & numerical data; D005260:Female; D006798:Housing; D006801:Humans; D000066511:Intimate Partner Violence / Q000523:psychology* / Q000706:statistics & numerical data*; D008297:Male; D015995:Prevalence; D017741:Survivors / Q000523:psychology* / Q000706:statistics & numerical data*
keywords: battered women; predicting domestic violence; women offenders