There has been increasing interest in exploring heterogeneous treatment effects using machine learning (ML) methods such as causal forests, Bayesian additive regression trees, and targeted maximum likelihood estimation. However, there is little work on applying these methods to estimate treatment effects in latent classes defined by…

Previous findings on the relationship between private tutoring and self-regulated learning are inconsistent. In this study, we assumed that the inconsistency of these findings was due to a combination of methodological issues, differing definitions of self-regulated learning and failure to account for the amount of time spent in private tutoring.…