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Increasing Precision without Altering Treatment Effects: Repeated Measures Designs in Survey Experiments

Published online by Cambridge University Press:  12 April 2021

SCOTT CLIFFORD Open the ORCID record for SCOTT CLIFFORD [Opens in a new window] ,
GEOFFREY SHEAGLEY Open the ORCID record for GEOFFREY SHEAGLEY [Opens in a new window]  and
SPENCER PISTON Open the ORCID record for SPENCER PISTON [Opens in a new window]
SCOTT CLIFFORD*
Affiliation:
University of Houston
GEOFFREY SHEAGLEY*
Affiliation:
University of Georgia
SPENCER PISTON*
Affiliation:
Boston University
*
Scott Clifford, Associate Professor, Department of Political Science, University of Houston, sclifford@uh.edu.
Geoffrey Sheagley, Assistant Professor, School of Public and International Affairs, University of Georgia, geoff.sheagley@uga.edu.
Spencer Piston, Assistant Professor, Department of Political Science, Boston University, spiston@bu.edu.
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Abstract

The use of survey experiments has surged in political science. The most common design is the between-subjects design in which the outcome is only measured posttreatment. This design relies heavily on recruiting a large number of subjects to precisely estimate treatment effects. Alternative designs that involve repeated measurements of the dependent variable promise greater precision, but they are rarely used out of fears that these designs will yield different results than a standard design (e.g., due to consistency pressures). Across six studies, we assess this conventional wisdom by testing experimental designs against each other. Contrary to common fears, repeated measures designs tend to yield the same results as more common designs while substantially increasing precision. These designs also offer new insights into treatment effect size and heterogeneity. We conclude by encouraging researchers to adopt repeated measures designs and providing guidelines for when and how to use them.

Type
Research Article
Information
American Political Science Review , Volume 115 , Issue 3 , August 2021 , pp. 1048 - 1065
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the American Political Science Association

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