Identifying subgroups at high risk of dropping out of domestic batterer treatment: The buffering effects of a high school education

International Journal of Offender Therapy and Comparative Criminology

Volumn 51, Issue 2, 2007, Pages 151-169

  Stalans, Loretta J ^a   Seng, Magnus ^a  

^a LOYOLA UNIVERSITY CHICAGO   (United States)

Author keywords

Attrition; Domestic batterer treatment; Risk assessment; Treatment selection

Indexed keywords

ADULT; ARTICLE; BATTERING; COGNITIVE THERAPY; CONTROLLED STUDY; EDUCATION; HIGH SCHOOL; HIGH SCHOOL GRADUATE; HUMAN; MAJOR CLINICAL STUDY; OFFENDER; POVERTY; SUBSTANCE ABUSE; TREATMENT FAILURE; TREATMENT RESPONSE; VIOLENCE;

ADULT; BATTERED WOMEN; DOMESTIC VIOLENCE; EDUCATIONAL STATUS; FEMALE; HUMANS; MALE; MENTAL HEALTH SERVICES; PATIENT DROPOUTS; RISK FACTORS; SCHOOLS; TREATMENT OUTCOME;

EID: 34047263979     PISSN: 0306624X     EISSN: 15526933     Source Type: Journal    
DOI: 10.1177/0306624X06290204     Document Type: Article

References (32)

1. Adams, S., Olson, D., & Adkins, S. (2001). Initial analysis of the 2001 Illinois Probation Survey. Chicago: Illinois Criminal Justice Information Authority.
2. Bennett, L., Goodman, L., & Dutton, M.A. (2000). Risk assessment among batterers arrested for domestic assault: The salience of psychological abuse. Violence Against Women, 6, 1190-1203.
3. Bennett, L.W. (1995). Substance abuse and the domestic assault of women. Social Work, 40, 760-772.
4. Bennett, L.W., & Vincent, N. (1997). Standards for batterer programs: A formative evaluation of the Illinois protocol. Retrieved June 2, 2004, from http://tigger.uic.edu/~lwbenn/DVPEP/JnlAMT.htm
5. Chalk, R., & King, P.A. (1998). Violence in families: Assessing prevention and treatment programs. Washington, DC: National Academy Press.
6. Chang, H., & Saunders, D.G. (2002). Predictors of attrition in two types of group programs for men who batter. Journal of Family Violence, 17, 273-292.
7. Dalton, B. (2001). Batterer characteristics and treatment completion. Journal of Interpersonal Violence, 16, 1223-1238.
8. Daly, J.E., & Pelowski, S. (2000). Predictors of dropout among men who batter: A review of studies with implications for research and practice. Violence and Victims, 15, 137-160.
9. Daly, J.E., Power, T.G., & Gondolf, E.W. (2001). Predictors of batterer program attendance. Journal of Interpersonal Violence, 16, 971-991.
10. Geer, T.M., Becker, J.V., Gray, S.R., & Krauss, D. (2001). Predictors of treatment completion in a correctional sex offender treatment program. International Journal of Offender Therapy and Comparative Criminology, 45, 302-313.
11. Gondolf, E.W. (1997). Patterns of reassault in batterer programs. Violence and Victims, 12, 373-387.
12. Gordon, J.A., & Moriarty, L.J. (2003). The effects of domestic violence batterer treatment on domestic violence recidivism: The Chesterfield County experience. Criminal Justice & Behavior, 30 (1). 118-134.
13. Hamberger, L.K., & Hastings, J.E. (1989). Counseling male spouse abusers: Characteristics of treatment completers and dropouts. Violence and Victims, 4, 275-286.
14. Hamberger, L.K., Lohr, J.M., & Gottlieb, M. (2000). Predictors of treatment dropout from a spouse abuse abatement program. Behavior Modification, 24, 528-552.
15. Holtzworth-Munroe, A., & Stuart, G.L. (1994). Typologies of male batterers: Three subtypes and the differences among them. Psychological Bulletin, 116, 476-497.
16. Illinois Department of Human Services. (1994). Illinois protocol for domestic abuse batterers program. Springfield, MO: Author.
17. Laviolette, A.D., & Barnett, O.W. (2000). It could happen to anyone: Why battered women stay. Thousand Oaks, CA: Sage.
18. Maiden, P.R. (1997). Alcohol dependence and domestic violence: Incidence and treatment implications. Alcoholism Treatment Quarterly, 15 (2). 31-50.
19. Monahan, J., Steadman, H.J., Appelbaum, P.S., Robbins, P.C., Mulvey, E.P., Silver, E., et al. (2000). Developing a clinically useful actuarial tool for assessing violence risk. British Journal of Psychiatry, 176, 312-319.
20. Rondeau, G., Brodeur, N., Brochu, S., & Lemire, G. (2001). Dropout and completion of treatment among spouse abusers. Violence and Victims, 16 (2). 127-143.
21. Rooney, J., & Hanson, R.K. (2001). Predicting attrition from treatment programs for abusive men. Journal of Family Violence, 16, 131-149.
22. Saunders, D.G. (1993). Husbands who assault: Multiple profiles requiring multiple responses. In N. Z. Hilton (Ed.), Legal responses to wife assault: Current trends and evaluation (pp. 9-34). Newbury Park, CA: Sage.
23. Silver, E., Smith, W.R., & Banks, S. (2000). Constructing actuarial devices for predicting recidivism: A comparison of methods. Criminal Justice and Behavior, 27, 733-764.
24. Soltysik, R.C., & Yarnold, P.R. (1993). ODA 1.0: Optimal data analysis for DOS. Chicago: Optimal Data Analysis, Inc.
25. Soltysik, R.C., & Yarnold, P.R. (1994). Univariable optimal discriminant analysis: One-tailed hypotheses. Educational and Psychological Measurement, 54, 646-653.
26. Stalans, L.J., Yarnold, P.R., Seng, M., Olson, D., & Repp, M. (2004). Identifying three types of violent offenders and predicting their recidivism and performance while on probation: A classification tree analysis. Law & Human Behavior, 28, 253-271.
27. Steadman, H.J., Silver, E., Monahan, J., Appelbaum, P.S., Robbins, P.C., Mulvey, E.P., et al. (2000). A classification tree approach to the development of acturial violence risk assessment tools. Law & Human Behavior, 24 (1). 83-100.
28. Tolman, R.M., & Bennett, L.W. (1990). A review of the quantitative research on men who batter. Journal of Interpersonal Violence, 5 (1). 87-118.
29. Yarnold, P.R. (1996). Discriminating geriatric and nongeriatric patients using functional status information: An example of classification tree analysis via UniODA. Educational and Psychological Measurement, 56, 656-667.
30. Yarnold, P.R., & Soltysik, R.C. (1991). Theoretical distributions of optima for univariate discrimination of random data. Decision Sciences, 22, 739-752.
31. Yarnold, P.R., & Soltysik, R.C. (2005). Optimal data analysis: Guidebook with software for Windows. Washington, DC: APA Books.
32. Yarnold, P.R., Soltysik, R.C., & Bennett, C.L. (1997). Predicting in-hospital mortality of patients with aids-related pneumocystis carinii pneumonia: An example of hierarchically optimal classification tree analysis. Statistics in Medicine, 16, 1451-1463.