Eric Hedberg
Associated IES Content
Grant
Deriving and Developing Tools to Estimate Optimal Data Points for Quasi-Experimental Designs
Education policies and interventions are often implemented in ways that do not render it feasible to use a randomized control trial to test their effects. The purposes of this study are to derive theory for computing exact statistical power for three common quasi-experimental designs (QEDs) - nonequivalent control group designs, difference-in-differences, and interrupted time series - and to develop software for computing statistical power using the derived approaches for those QEDs.
Federal funding program:
Award number:
R305D200045