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This paper presents new methods for synthesizing results from subgroup and moderation analyses across different randomized trials. We demonstrate that such a synthesis generally results in additional power to detect significant moderation findings above what one would find in a single trial. Three general methods for conducting synthesis analyses are discussed, with two methods, integrative data analysis, and parallel analyses, sharing a large advantage over traditional methods available in meta-analysis. We present a broad class of analytic models to examine moderation effects across trials that can be used to assess their overall effect and explain sources of heterogeneity, and present ways to disentangle differences across trials due to individual differences, contextual level differences, intervention, and trial design.

Research on the relationship between mental disorder and violence has focused largely on the effects of clinical characteristics, such as treatment adherence and psychotic symptoms, with little attention to the potentially important role of stressful life events and impaired social support. Yet, stressful life events and impaired social support have been found to be significantly associated with the onset and course of mental disorder and with the occurrence of violence. This raises the question: Do stressful life events and impaired social support contribute to the association between mental disorder and violence? The current study addresses this question using general population data from the Durham site of the National Institute of Mental Health's Epidemiological Catchment Area Surveys (N ϭ 3,438). Results indicate that when stressful life events and impaired social support are controlled, the association between mental disorder and violence is substantially reduced. Implications for future research on the relationship between mental disorder and violence are discussed.

Much research has focused on violence committed by individuals with mental disorders, but their victimization experiences have received less attention. This literature indicates that individuals with mental disorders are at a significantly higher risk of violent victimization than are individuals with no such diagnosis, but few studies have attempted to provide or test a theoretical explanation for these differences. This study analyzes data from the MacArthur Violence Risk Assessment Study, a longitudinal study of individuals released from three psychiatric hospitals, to test the effects of theoretically derived risk factors for victimization. Based on multilevel growth curve models, the author finds that symptomatology, homelessness, and alcohol abuse significantly increase the risk of victimization for persons with major mental disorders. In addition, stress and gender interact, predicting victimization, suggesting that—for men—stress increases the odds of victimization. The implications of these findings for research and practice are discussed.