Instrumental variables is a popular approach for causal inference in education when randomization of treatment is not feasible. Using a first-year college program as a running example, this article reviews the five assumptions that must be met to successfully use instrumental variables to estimate a causal effect with observational data: SUTVA,…

With the population of English learners (EL) entering Texas public schools increasing, it is essential to understand how the current school system supports these students. This study investigated the language used in school handbooks as a predictor of English Language Learners' (ELL) academic outcomes in Texas independent school districts. Student…

This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…