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Assessing the effect of batterer program completion on reassault using propensity scores
Alison Snow Jones1, Ralph B D'Agostino, Edward W Gondolf
1Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA. asjones@wfubmc.edu
Journal of Interpersonal Violence
|August 7, 2004
Summary
This study found that completing batterer programs significantly reduced reassault rates by 33%. For court-ordered men, program completion nearly halved the likelihood of reassault.
Area of Science:
- Criminology
- Psychology
- Sociology
Background:
- Previous studies on batterer programs show mixed results regarding their effectiveness in reducing reassault.
- Methodological limitations in prior research have compromised the validity of their findings.
Purpose of the Study:
- To re-evaluate the effectiveness of batterer programs in reducing intimate partner violence reassault.
- To address methodological and analytical issues present in previous experimental evaluations.
Main Methods:
- Utilized a quasi-experimental sample of 633 batterers and their partners from three geographically dispersed programs.
- Employed propensity score analysis, specifically subclassification, to balance program completers and dropouts.
- Estimated propensity scores based on the probability of program completion given observable characteristics.
Main Results:
- Program completion was associated with a 33% reduction in the probability of reassault over a 15-month follow-up period for the entire sample.
- For men mandated to attend by the court, program completion demonstrated a nearly 50% reduction in reassault probability.
- Propensity score analysis successfully balanced observable characteristics between completers and dropouts, strengthening the study's validity.
Conclusions:
- Batterer programs, when completed, can be effective in reducing intimate partner violence reassault.
- The findings suggest that program completion, particularly for court-mandated participants, yields significant positive outcomes.
- Quasi-experimental designs with advanced statistical methods like propensity score analysis can overcome limitations of previous evaluations.