This article examines the estimation of two-stage clustered designs for education randomized control trials (RCTs) using the nonparametric Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for…

Background: Cluster-randomized experiments that assign intact groups such as schools or school districts to treatment conditions are increasingly common in educational research. Such experiments are inherently multilevel designs whose sensitivity (statistical power and precision of estimates) depends on the variance decomposition across levels.…

The authors' purpose was to study the efficacy of patterning instruction in improving the reading and mathematics proficiency of first grade children. Patterning instruction was compared to equal time and effort spent on instruction on reading or mathematics or social studies, which are control conditions in this experiment. The question for…