When estimating an average treatment effect with observational data, it's possible to get an unbiased estimate of the causal effect if all confounding variables are observed and reliably measured. In education, confounding variables are often latent constructs. Covariate selection methods used in causal inference applications assume that all…

The Home Learning Environment (HLE) focuses on everyday learning habits in families to support children's competency development. In this study, we used multitrait-multimethod (MTMM) analyses to compare two theoretical dimensions and three methods for assessing the HLE and their associations with linguistic and mathematical competencies of…

The Every Student Succeed Act (ESSA) brings significant changes as well as opportunities for schools to improve their students' academic outcomes. One proposed regulation is for states to analyze the performance of student subgroups separately in order to show how states are levelling the playing field over time to ensure educational equity. This…