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      Criminal Protection Orders for Women Victims of Domestic Violence: Explicating Predictors of Level of Restrictions Among Orders Issued

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          Abstract

          Criminal protection orders (POs), with varying degrees of restrictions, are issued by the criminal justice system to enhance the safety of victims of domestic violence (DV). Limited research exists to elucidate factors associated with their issuance. Therefore, the purpose of this study was to investigate how demographic, relationship, parenting, and court-process-related factors are related to the level of restriction the PO places on the offender. Two-hundred ninety-eight women who were victims in a criminal DV case ( M age 36.4, 50.0% African American) participated in a structured interview approximately 12 to 15 months following the offenders’ arraignment. Results revealed that psychological DV severity and fear of the offender in the 30 days prior to arraignment significantly predicted PO level of restriction issued. In addition, level of restriction requested by the victim significantly predicted level of restriction issued by the judge (though closer examination of the data revealed that many orders were issued at a different level of restriction than the victim requested). Other demographic, relationship, parenting, and court-process-related factors did not predict PO level of restriction issued. Findings are discussed with respect to practice and policy in the criminal justice system.

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          Most cited references47

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          Sexual Experiences Survey: A research instrument investigating sexual aggression and victimization.

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            Risk factors for femicide in abusive relationships: results from a multisite case control study.

            This 11-city study sought to identify risk factors for femicide in abusive relationships. Proxies of 220 intimate partner femicide victims identified from police or medical examiner records were interviewed, along with 343 abused control women. Preincident risk factors associated in multivariate analyses with increased risk of intimate partner femicide included perpetrator's access to a gun and previous threat with a weapon, perpetrator's stepchild in the home, and estrangement, especially from a controlling partner. Never living together and prior domestic violence arrest were associated with lowered risks. Significant incident factors included the victim having left for another partner and the perpetrator's use of a gun. Other significant bivariate-level risks included stalking, forced sex, and abuse during pregnancy. There are identifiable risk factors for intimate partner femicides.
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              A theoretical framework for understanding help-seeking processes among survivors of intimate partner violence.

              This paper suggests a conceptual framework for understanding the processes of help-seeking among survivors of intimate partner violence (IPV). A cognitive theory from general literature on help-seeking in "stigmatizing" situations suggests three relevant processes or stages of seeking help in the IPV context: defining the problem, deciding to seek help, and selecting a source of support. Individual, interpersonal, and sociocultural factors that influence decision-making at each of these stages are discussed and illustrated with case examples.
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                Author and article information

                Journal
                Journal of Interpersonal Violence
                J Interpers Violence
                SAGE Publications
                0886-2605
                1552-6518
                January 2021
                October 12 2017
                January 2021
                : 36
                : 1-2
                : NP643-NP662
                Affiliations
                [1 ]Yale University, New Haven, CT, USA
                [2 ]University of Rhode Island, Kingston, USA
                Article
                10.1177/0886260517736274
                9985a281-b76a-42f2-9e10-520dfcc21d11
                © 2021

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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