|Title:||Deriving and Developing Tools to Estimate Optimal Data Points for Quasi-Experimental Designs|
|Principal Investigator:||Hedberg, Eric||Awardee:||National Opinion Research Center (NORC)|
|Program:||Statistical and Research Methodology in Education [Program Details]|
|Award Period:||3 years (07/01/2020 – 06/30/2023)||Award Amount:||$648,791|
|Type:||Methodological Innovation||Award Number:||R305D200023|
Co-Principal Investigator: Hedges, Larry
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. The software will be programmed in R and will thus be freely available to applied researchers. In addition to publishing in journals and presenting at conferences, the research team will use social media, press releases through NORC, briefs for nontechnical publications, and workshops at conferences, such as AERA and SREE, for applied education researchers.