This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…

Understanding urban teachers' beliefs about African American students has become important because (a) many teachers are reluctant to teach students from other cultures, and (b) most teachers are European American. To construct a psychometrically sound measure of teacher beliefs, the authors investigate the measurement properties of a teacher…