Continuous variables will be summarized with descriptive statistics (n, mean, standard deviation, median, first and third quartiles, and min and max); categorical variables will be described with counts and percentages. Change scores and percent change scores will be calculated from baseline (prior to start of first academic year) as well as from end of Fall to Spring within each academic year. Numerical and graphical summaries will be provided overall, by subpopulation within college communities (e.g., by gender, sexual attraction, fraternity/sorority or athletic team membership) and most importantly by training condition. Simple comparisons of groups will be made using ANOVA for continuous variables and chi-square tests for categorical outcomes. Comparisons between groups will be conducted as randomized; simple comparisons of continuous variables between groups will be performed using ANOVA and chi-square tests of independence for categorical variables. Although groups will be randomly assigned, potential confounders will be examined with bivariate analyses and comparisons requiring covariate adjustment will use regression modeling (e.g. ANCOVA, logistic regression). Planned subgroup analyses include analyses by gender group, by sexual attraction, by Greek life participation. These will also be conducted as randomized and as received. Effect modification will also be assessed by including interactions in regression models (linear, logistic, and mixed models depending on outcomes and the presence of longitudinal measures). SAS v9.4 will be used for all data management and statistical analysis; a significance level of 0.01 will be used for all statistical tests.