Statistical Analysis
violent behavior
REGRESSION
First, we conducted descriptive analyses of the sample overall and by study arm to assess qualitative balance across groups. Second, we assessed levels of sexually violent behavior and prosocial intervening behavior at each study wave by study arm. Finally, we conducted DID modeling to estimate the odds ratios (ORs), incidence rate ratios, and 95% CIs for sexually violent behavior and prosocial bystander behavior at endline (posttest 1 and 2 combined) versus baseline. For binary outcomes, we performed logistic regression with the assigned treatment arm, time, and treatment-by-time interaction (DID variable) as predictors. For count outcomes, we performed a negative binomial regression, which accounted for overdispersion in the outcome. To probe significant treatment-by-time interaction or DID effects, we computed and compared the OR and incidence rate ratio of the occurrence of the behavior separately for each group. All analyses were performed using Stata (version 16; StataCorp [