References
- Arias, E., Arce, R., & Vilarino, M. (2013). Batterer intervention programmes: A meta-analytic review of effectiveness. Psychosocial Intervention, 22(2), 153–160. doi:https://doi.org/10.5093/in2013a18
- Babcock, J. C., Green, C. E., & Robie, C. (2004). Does batterers’ treatment work? A meta-analytic review of domestic violence treatment. Clinical Psychology Review, 23(8), 1023–1053. doi:https://doi.org/10.1016/j.cpr.2002.07.001
- Chang, H., & Saunders, D. G. (2002). Predictors of attrition in two types of group programs for men who batter. Journal of Family Violence, 17(3), 273–292. doi:https://doi.org/10.1023/A:1016057328929
- Connecticut Statistical Analysis Center. (2007). State of Connecticut family violence case flow analysis.
- Corvo, K., Dutton, D., & Chen, W. Y. (2008). Toward evidence-based practice with domestic violence perpetrators. Journal of Aggression, Maltreatment & Trauma, 16(2), 111–130. doi:https://doi.org/10.1080/10926770801921246
- Davis, R. C., & Taylor, B. G. (1999). Does batterer treatment reduce violence? A synthesis of the literature. Women & Criminal Justice, 10(2), 69–93. doi:https://doi.org/10.1300/J012v10n02_05
- Day, A., Chung, D., O’Leary, P., & Carson, E. (2009). Programs for men who perpetrate domestic violence: An examination of the issues underlying the effectiveness of intervention programs. Journal of Family Violence, 24(3), 203–212. doi:https://doi.org/10.1007/s10896-008-9221-4
- Drake, E. K., Aos, S., & Miller, M. G. (2009). Evidence-based public policy options to reduce crime and criminal justice costs: Implications in Washington State. Victims and Offenders, 4(2), 170–209. doi:https://doi.org/10.1080/15564880802612615
- Dutton, D. G., & Corvo, K. (2007). The Duluth model: A data impervious paradigm and a failed strategy. Aggression and Violent Behavior, 12, 658–667. doi:https://doi.org/10.1016/j.avb.2007.03.002
- Feazell, C., Mayers, R., & Deschner, J. (1984). Services for men who batter: Implications for programs and policies. Family Relations, 33(2), 217–223. doi:https://doi.org/10.2307/583786
- Feder, L., & Wilson, D. B. (2005). A meta-analytic review of court-mandated batterer intervention programs: Can courts affect abusers’ behavior? Journal of Experimental Criminology, 1(2), 239–262. doi:https://doi.org/10.1007/s11292-005-1179
- Feder, L., Wilson, D. B., & Austin, S. (2008). Court-mandated interventions for individuals convicted of domestic violence. Campbell Systematic Reviews, (2008(12), 1–46. doi:https://doi.org/10.4073/csr.2008.12
- Ferguson, C. J. (2009). An effect size primer: A guide for clinicians and researchers. Professional Psychology: Research and Practice, 40(5), 532–538. doi:https://doi.org/10.1037/a0015808
- Gondolf, E. W. (2002). Batterer intervention systems: Issues, outcomes, and recommendations. Thousand Oaks, CA: Sage Publications.
- Gondolf, E. W. (2007). Theoretical and research support for the Duluth model: A reply to Dutton and Corvo. Aggression and Violent Behavior, 12, 644–657. doi:https://doi.org/10.1016/j.avb.2007.03.001
- Gondolf, E. W. (2012). The future of batterer programs: Reassessing evidence-based practices. Boston, MA: Northeastern University Press.
- Healey, K., Smith, C., & O’Sullivan, C. (2009). Batterer intervention: Program approaches and criminal justice strategies. New York, NY: Nova Science Publishers, Inc.
- Jackson, S., Feder, L., Forde, D. R., Davis, R. C., Maxwell, C. D., & Taylor, B. G. (2003). Batterer intervention programs: Where do we go from here? (NCJ 195079). Washington D.C.: U.S. Department of Justice.
- Jewell, L. M., & Wormith, J. S. (2010). Variables associated with attrition from domestic violence treatment programs targeting male batterers: A meta-analysis. Criminal Justice and Behavior, 37(10), 1086–1113. doi:https://doi.org/10.1177/0093854810376815
- Kilma, T., Miller, M., & Nunlist, C. (2009). What works? Targeted truancy and dropout programs in middle and high school (09-06-2201). Olympia: Washington Institute for Public Policy.
- Maiuro, R. D., & Eberle, J. A. (2008). State standards for domestic violence perpetrator treatment: Current status, trends, and recommendations. Violence and Victims, 23(2), 133–155. doi:https://doi.org/10.1981/0886-6708.23.2.133
- Miller, M., Drake, E., & Nafziger, M. (2013). What works to reduce recidivism by domestic violence offenders? (13-01-1201). Olympia: Washington State Institute for Public Policy.
- Mills, L., Barocas, B., & Ariel, B. (2013). The next generation of court-mandated domestic violence treatment: A comparison study of batterer intervention and restorative justice programs. Journal of Experimental Criminology, 9(1), 65–90. doi:https://doi.org/10.1007/s11292-012-9164-x
- Pence, E., & Paymar, M. (1993). Education groups for men who batter: The Duluth model. New York, NY: Springer.
- Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55. doi:https://doi.org/10.1093/biomet/70.1.41
- Sánchez-Meca, J., Chacón-Moscoso, S., & Marin-Martínez, F. (2003). Effect-size indices for dichotomized outcomes in meta-analysis. Psychological Methods, 8(4), 448–467. doi:https://doi.org/10.1037/1082-989X.8.4.448
- Singleton, R. A., & Straits, B. C. (2005). Approaches to social research (4th ed.). New York, NY: Oxford University Press.
- Stanfield, R., & Williams, K. R. (2014). Predicting family violence recidivism using the DVSI-R: Integrating survival analysis and perpetrator characteristics. Criminal Justice and Behavior, 41(2), 163–180. doi:https://doi.org/10.1177/0093854813500776
- Stuart, E. A., & Rubin, D. B. (2008). Best practices in quasi–Experimental designs: Matching methods for causal inference. In J. Osborne (Ed.), Best practices in quantitative methods (pp. 155–176). Thousand Oaks, CA: Sage Publications.
- Taft, C. T., Murphy, C. M., Elliott, J. D., & Keaser, M. C. (2001). Race and demographic factors in treatment attendance for domestically abusive men. Journal of Family Violence, 16(4), 385–400. doi:https://doi.org/10.1023/A:1012224910252
- Thoemmes, F. (2012). Propensity score matching in SPSS. Retrieved from http://arxiv.org/pdf/1201.6385v1.pdf
- Williams, K. R. (2012). Family violence risk assessment: A predictive cross-validation study of the Domestic Violence Screening Instrument-revised (DVSI-R). Law and Human Behavior, 36((2):), 120–129. doi:https://doi.org/10.1037/h0093977
- Williams, K. R., & Grant, S. R. (2006). Empirically examining the risk of intimate partner violence: The revised Domestic Violence Screening Instrument-revised (DVSI-R). Public Health Reports, 121(4), 400–408. doi:https://doi.org/10.1177/003335490612100408