Causal inference is a central topic in education research, although oftentimes it relies on observational studies, which makes causal identification methodologically challenging. This manuscript introduces causal graphs as a powerful language for elucidating causal theories and an effective tool for causal identification analysis. It discusses…

Education researchers often encounter scenarios where an abrupt policy change occurs within or across jurisdictions or populations that affect key student outcomes. Difference-in-differences is a research design analysts can use to estimate causal effects of these "natural experiments." This article introduces education researchers to…