4.4 Article

Compared to What? A Meta-Analysis of Batterer Intervention Studies Using Nontreated Controls or Comparisons

Journal

TRAUMA VIOLENCE & ABUSE
Volume 22, Issue 3, Pages 496-511

Publisher

SAGE PUBLICATIONS INC
DOI: 10.1177/1524838019865927

Keywords

program evaluation; batterer intervention program; intimate partner violence; domestic violence; meta-analysis

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This meta-analysis found that batterer intervention programs are effective in reducing recidivism of domestic violence and general offense when reported by the criminal justice system, but not when assessed by the survivor. Participants in BIPs were about 3 times less likely to have DV recidivism and about 2.5 times less likely to have general offense recidivism, compared to nontreated control/comparison groups. The pooled effect size varied by research design, with significant results for quasi-experimental design studies but not for randomized controlled trials.
This meta-analysis updates the literature on the effectiveness of batterer intervention programs (BIPs) in decreasing recidivism of domestic violence (DV) by focusing on studies with nontreated comparison groups (N = 17). Included studies were published between 1986 and 2016, and 14 of the 17 provided sufficient information for the meta-analysis. Analysis focused on three reported outcomes: DV recidivism reported by the criminal justice system, intimate partner violence (IPV) perpetration assessed by the survivor, and general offense recidivism reported by the criminal justice system. Results of meta-analysis indicated that BIPs were effective in decreasing DV recidivism and general offense recidivism when reported by the criminal justice system, but not when assessed by the survivor. BIP participants were about 3 times less likely to have DV recidivism and about 2.5 times less likely to have general offense recidivism, compared to nontreated control/comparison groups. The pooled effect size varied, however, by research design. Specifically, results indicated a nonsignificant pooled effect size for randomized controlled trials but a significant pooled effect size for quasi-experimental design studies. Implications for future practice and research are discussed.

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