In the current socio-political climate, there is an extra urgency to evaluate whether program impacts are distributed fairly across important student groups in education. Both experimental and quasi-experimental designs (QEDs) can contribute to answering this question. This work demonstrates that QEDs that compare outcomes across higher-level…

By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…