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Assessing the risk of severe domestic violence: The importance of survivors’ predictions.

dc.contributor.authorWeisz, Arlene N.
dc.contributor.authorTolman, Richard M.
dc.contributor.authorSaunders, Daniel G.
dc.date.accessioned2012-03-30T12:27:16Z
dc.date.available2012-03-30T12:27:16Z
dc.date.issued2000
dc.identifier.citationJournal of Interpersonal Violence, 15, 75-90. <http://hdl.handle.net/2027.42/90510>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/90510
dc.description.abstractThe findings of this study contribute to the discussion about the best method for predicting the recurrence of severe domestic violence. The findings are from a secondary data analysis comparing the accuracy of 177 domestic violence survivors' predictions of reassault to risk factors supported by previous research. The survivors' predictions were associated with recurrence of severe violence in a bivariate analysis. These predictions also added significantly to the accuracy of established risk factors in two multivariate equations predicting severe reassault within a 4-month period. Although not all of the survivors made accurate predictions, this research supports the use of survivors' predictions as an important element that should be included in risk prediction.en_US
dc.language.isoen_USen_US
dc.subjectDomestic Violenceen_US
dc.subjectRisk Assessmenten_US
dc.titleAssessing the risk of severe domestic violence: The importance of survivors’ predictions.en_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelSocial Work
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumSchool of Social Worken_US
dc.contributor.affiliationotherWayne State Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/90510/3/Weisz-Tolman-Saunders 2000 Assessing Risk of Severe DV JIV.pdf
dc.identifier.doi10.1177/088626000015001006
dc.identifier.sourceJournal of Interpersonal Violenceen_US
dc.owningcollnameSocial Work, School of (SSW)


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