Accounting for Noncompliance in Survey Experiments
Jeffrey J. Harden,
Anand E. Sokhey and
Katherine L. Runge
Journal of Experimental Political Science, 2019, vol. 6, issue 3, 199-202
Abstract:
Political scientists commonly use survey experiments–often conducted online–to study the attitudes of the mass public. In these experiments, compensation is usually small and researcher control is limited, which introduces the potential for low respondent effort and attention. This lack of engagement may result in noncompliance with experimental protocols, threatening causal inferences. However, in reviewing the literature, we find that despite the discipline’s general familiarity with experimental noncompliance, researchers rarely consider it when analyzing survey experiments. This oversight is important because it may unknowingly prevent researchers from estimating their causal quantities of greatest substantive interest. We urge scholars to address this particular manifestation of an otherwise familiar problem and suggest two strategies for formally measuring noncompliance in survey experiments: recording vignette screen time latency and repurposing manipulation checks. We demonstrate and discuss the substantive consequences of these recommendations by revisiting several published survey experiments.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:cup:jexpos:v:6:y:2019:i:03:p:199-202_00
Access Statistics for this article
More articles in Journal of Experimental Political Science from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().