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Durham Research Online
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Reducing turnout misreporting in online surveys.

Kuhn, Patrick M. and Vivyan, Nick (2018) 'Reducing turnout misreporting in online surveys.', Public opinion quarterly., 82 (2). pp. 300-321.

Abstract

Assessing individual-level theories of electoral participation requires survey-based measures of turnout. Yet, due to a combination of sampling problems and respondent misreporting, postelection surveys routinely overestimate turnout, often by large margins. Using an online survey experiment fielded after the 2015 British general election, we implement three alternative survey questions aimed at correcting for turnout misreporting and test them against a standard direct turnout question used in postelection studies. Comparing estimated to actual turnout rates, we find that while all question designs overestimate aggregate turnout, the item-count technique alleviates the misreporting problem substantially, whereas a direct turnout question with additional face-saving options and a crosswise model design help little or not at all. Also, regression models of turnout estimated using the item-count measure yield substantively similar inferences regarding the correlates of electoral participation to models estimated using “gold-standard” validated vote measures. These findings stand in contrast to those suggesting that item-count techniques do not help with misreporting in an online setting and are particularly relevant given the increasing use of online surveys in election studies.

Item Type:Article
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1093/poq/nfy017
Publisher statement:This is a pre-copyedited, author-produced version of an article accepted for publication in Public Opinion Quarterly following peer review. The version of record Kuhn, Patrick M. & Vivyan, Nick (2018). Reducing Turnout Misreporting in Online Surveys. Public Opinion Quarterly, 82(2): 300-321 is available online at: https://doi.org/10.1093/poq/nfy017.
Date accepted:12 March 2018
Date deposited:16 March 2018
Date of first online publication:14 May 2018
Date first made open access:No date available

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