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This study determines a clinical cutting score for the 29-item Abuse Behavior Inventory (ABI) developed by Shepard and Campbell (1992) to measure both physical and psychological abuse experiences. The authors report on a sample of 392 White and African American women from primary care waiting rooms, who completed the ABI and the revised Conflict Tactics Scale (CTS2). An ABI cutoff score of 10 maximizes validity and produces a sensitivity of 77% and a specificity of 81% compared to the CTS2. Cronbach's alpha is .92 for the entire scale, .91 for the psychological subscale, and .86 for the physical subscale. Correlation between the ABI and CTS2 is .76, with subscale correlations of .74 between ABI psychological and CTS2 verbal aggression, and .71 between ABI physical and CTS2 physical aggression, injury, and sexual coercion.

This study examined multidimensional item response theory (MIRT) modeling to assess social desirability (SocD) influences on self-reported physical activity self-efficacy (PASE) and fruit and vegetable self-efficacy (FVSE). The observed sample included 473 Houston-area adolescent males (10-14 years). SocD (nine items), PASE (19 items) and FVSE (21 items) were measured with previously validated self-report instruments containing Likert-type responses. Physical activity was objectively measured using the Computer Science Application Incorporated/Manufacturing Technology Incorporated (CSA/MTI) accelerometer. Total fruit, juice and vegetable consumption was measured with a food frequency questionnaire. Correlations between self-efficacy and behaviors were minimal, regardless of controlling for SocD. However, in a simulated sample derived to demonstrate the utility of MIRT when relationships exist, the pseudo-relationships between self-efficacy and behaviors were substantially weaker after controlling for SocD. MIRT provided disattenuated correlations between SocD and self-efficacy, thereby providing more precise estimates of the real influence of SocD on the relationship between self-efficacy and behavior. However, as shown in the observed sample, more research is needed to understand the influence of SocD on the relationship between self-efficacy and behaviors for different populations and for different degrees of SocD response bias.

Current public health and medical evidence rely heavily on efficacy information to make decisions regarding intervention impact. This evidence base could be enhanced by research studies that evaluate and report multiple indicators of internal and external validity such as Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) as well as their combined impact. However, indices that summarize the combined impact of, and complex interactions among, intervention outcome dimensions are not currently available. We propose and discuss a series of composite metrics that combine two or more RE-AIM dimensions, and can be used to estimate overall intervention impact. Although speculative and, at this point, there have been limited empirical data on these metrics, they extend current methods and are offered to yield more integrated composite outcomes relevant to public health. Such approaches offer potential to help identify interventions most likely to meaningfully impact population health.