Panel: The Power to Detect Effects: Careful Consideration of Important Subtleties
(Methods and Tools of Analysis)

Saturday, November 10, 2018: 1:30 PM-3:00 PM
Wilson B - Mezz Level (Marriott Wardman Park)

*Names in bold indicate Presenter

Panel Chairs:  John Deke, Mathematica Policy Research
Discussants:  Luke Miratrix, Harvard University and Vivian C. Wong, University of Virginia


Estimating Labor Market Returns to an Early Childhood Intervention: A Comparison of Survey, Administrative, Matched, and Imputed Data
Irma Arteaga1, Suh-Ruu Ou2, Judy A. Temple2 and Arthur J. Reynolds2, (1)University of Missouri, (2)University of Minnesota



Methods for Using Grouped Administrative Data and Design-Based Impact Estimators for RCTs and Qeds
Peter Z. Schochet, Mathematica Policy Research



Asymdystopia: The Threat of Small Biases in Evaluations of Education Interventions That Need to be Powered to Detect Small Impacts
John Deke1, Thomas Wei2 and Tim Kautz1, (1)Mathematica Policy Research, (2)U.S. Department of Education



Apportioned Multilevel Structural Equation Modeling: An Unbiased and Efficient Alternative to Multilevel Structural Equation Modeling in Small to Moderate Samples
Ben Kelcey1, Kyle Cox1 and Nianbo Dong2, (1)University of Cincinnati, (2)University of North Carolina, Chapel Hill


The Power to Detect Effects: Careful Consideration of Important Subtleties


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