Quantitative Analysis

We assessed statistically significant differences between virtual and in-person participant baseline characteristics, attendance, and post-test program ratings using two sample t-tests for continuous measures and chi-squared tests for categorical measures. We conducted significance tests of student program ratings by implementation type (virtual vs. in-person), controlling for grade level, length of time in the USA, and whether they ever had sex. Control variables were selected due to observed differences in baseline responses between implementation type. We assessed statistically significant differences in student attendance of 75% or more lessons by implementation setting and school type (Wellness Center vs. non-Wellness Center) using the chi-squared test of independent proportions. Data from observation forms were used to calculate the mean observed quality ratings by implementation type. Statistical significance was not tested due to small sample sizes. All analyses were completed using SAS Studio [v5.4, 2019].