Statistical Analysis
REGRESSION, PMT
We descriptively analyzed participant characteristics and PMT construct amount dosage over the course of their intervention participation, stratified by lesson completion (all vs. any missed). We then used multiple linear regression models with robust standard errors to assess for moderation of the effects of the intervention on PMT construct and intention outcomes in the treatment group, comparing participants with complete vs. incomplete PMT construct dosage. Beta coefficients were obtained for the continuous PMT construct outcomes and risk differences (RDs) (the absolute difference in the probability of the outcome between the full dosage vs. incomplete dosage participants) were obtained for the binary intention outcomes. PMT construct outcomes were standardized prior to analysis for ease of comparison. Covariates included PMT construct dosage (complete vs. incomplete) and adjustment for potential observed confounding by participant age (continuous, years) and sex (binary). The magnitude and statistical significance (