The impact of Playworks on study outcomes was estimated by comparing the average outcomes in treatment and control schools using regression models customized to the unit of analysis (teacher or student). The regression models used for analysis included indicators for random assignment blocks to account for the blocked design and school-specific random error terms to account for school-specific effects not attributable to the treatment. Covariates were also included in some models to account for significant differences between treatment and control groups in demographic characteristics. Models for continuous and binary outcome variables were fit using least-squares estimation and logistic regression estimation, respectively. Standard errors for the estimated impacts on teacher- and student-level outcomes accounted for clustering at the school level using generalized estimating equations. Model-based p-values and effect sizes were calculated based on the estimated impacts and corresponding standard errors and multiple comparison adjustments accounted for correlations among the multiple tests. Sampling weights were used when estimating impacts. The weights were constructed to account for both the selection probabilities of students and teachers into the sample and nonresponse.