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Predicting Bystander Behavior to Prevent Sexual Assault on College Campuses: The Role of Self-Efficacy and Intent
Authors:Sarah McMahon  N Andrew Peterson  Samantha C Winter  Jane E Palmer  Judy L Postmus  Ruth Anne Koenick
Institution:1. Center on Violence Against Women and Children, School of Social Work, Rutgers University, New Brunswick, NJ, USA
2. Department of Public Administration and Policy, American University, Washington, DC, USA
3. Office for Violence Prevention and Victim Assistance, Rutgers University, New Brunswick, NJ, USA
Abstract:Bystander intervention has been increasingly applied to prevent sexual violence on college campuses. Its underlying theory assumes unidirectional relationships between variables, predicting that bystander behaviors (i.e., actions taken to intervene in sexual violence situations) will be influenced by bystander intentions (BI; i.e., likelihood to intervene in the future), which in turn will be affected by bystander efficacy (BE; i.e., confidence to intervene). One question for theory is whether a reciprocal relationship exists between BI and BE. We used structural equation modeling (SEM) with longitudinal data to test unidirectional and reciprocal causal relations between BI and BE. Participants (n = 1390) were students at a northeastern US university. Four models were examined using SEM: (1) a baseline model with autoregressive paths; (2) a model with autoregressive effects and BI predicting future BE; (3) a model with autoregressive effects and BE predicting future BI; and, (4) a fully cross‐lagged model. Results indicated that reciprocal causality was found to occur between BI and BE. In addition, a final model demonstrated indirect effects of a bystander intervention program on bystander behaviors through both BI and BE at different time points. Implications for theory and practice are described, and directions for future research discussed.
Keywords:Campus sexual assault  Bystander intervention  Cross-lagged model
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