Asymdystopia: The Threat of Small Biases in Evaluations of Education Interventions that Need to be Powered to Detect Small Impacts

John Deke, Thomas Wei and Tim Kautz

Mathematica Policy Research Reports from Mathematica Policy Research

Abstract: The authors examine the potential for small biases to increase the risk of making false inferences as studies are powered to detect smaller impacts and recommend strategies researchers can use to avoid or mitigate these biases.

Keywords: bias; power; randomized controlled trial; regression discontinuity design; evaluation methodology (search for similar items in EconPapers)
Pages: 62
New Economics Papers: this item is included in nep-cta
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