Statistical Power for Regression Discontinuity Designs in Education: Empirical Estimates of Design Effects Relative to Randomized Controlled Trials

John Deke and Lisa Dragoset

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: Using data from four previously published education studies, this working paper finds that a study using a regression discontinuity design needs between 9 and 17 times as many schools or students as a randomized controlled trial to produce an impact with the same level of statistical precision.

Keywords: Statistical Power Regression Discontinuity Designs; Randomized Controlled Trials; Education (search for similar items in EconPapers)
Pages: 24
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Citations: View citations in EconPapers (6)

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