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

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. The need for a large sample is driven primarily by bandwidth selection, not adjusting for random misspecification error.

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Year of publication:	2012-06-30
Authors:	Deke, John ; Dragoset, Lisa
Institutions:	Mathematica Policy Research
Subject:	Statistical Power \| Regression Discontinuity Designs \| Randomized Controlled Trials \| Education

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Extent:	application/pdf
Series:	Mathematica Policy Research Reports.
Type of publication:	Book / Working Paper
Notes:	2 pages long
Classification:	I - Health, Education, and Welfare
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010609881