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Analyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design

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dc.contributor.authorBertoli, Andrew
dc.contributor.authorJakli, Laura
dc.contributor.authorPascoe, Henry
dc.contributor.rorhttps://ror.org/02jjdwm75
dc.date.accessioned2024-11-08T12:10:48Z
dc.date.available2024-11-08T12:10:48Z
dc.date.issued2024-02-13
dc.description.abstractSocial scientists and public opinion analysts often use survey data to test how important events impact respondent beliefs, attitudes, and preferences. This paper offers a formal analysis of the pre-event/post-event survey approach, including designs that seek to reduce bias using quota sampling, rolling cross-sections, and panels. Our analysis distinguishes between various sources of bias and clarifies the comparative strengths and weaknesses of each approach. We then propose a modified panel design that can reduce bias in cases where asking respondents to complete the same survey twice could impact their responses in Wave 2. This issue is acute when fielding conventional pre-event/post-event panels due to the short time horizon between Waves 1 and 2. Our analysis elucidates important insights that can improve social scientists’ ability to study the causal impact of important events through surveys.
dc.description.peerreviewedno
dc.description.statusPublished
dc.formatapplication/pdf
dc.identifier.citationBertoli, Andrew and Jakli, Laura and Pascoe, Henry, Analyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design (March 4, 2024). Available at SSRN: https://ssrn.com/abstract=4707579 or http://dx.doi.org/10.2139/ssrn.4707579
dc.identifier.doihttp://dx.doi.org/10.2139/ssrn.4707579
dc.identifier.officialurlhttps://papers.ssrn.com/sol3/papers.cfm?abstract_id=4707579
dc.identifier.urihttps://hdl.handle.net/20.500.14417/3316
dc.language.isoen
dc.publisherSSRN
dc.relation.departmentInternational Relations
dc.relation.entityIE University
dc.relation.schoolIE School of Politics, Economics & Global Affairs
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.en
dc.subject.keywordSurveys
dc.subject.keywordCausal Inference
dc.subject.keywordPotential Outcomes Framework
dc.subject.keywordQuota Sampling
dc.subject.keywordRolling Cross-Sections
dc.subject.keywordPanels
dc.titleAnalyzing the Impact of Events Through Surveys: Formalizing Biases and Introducing the Dual Randomized Survey Design
dc.typeinfo:eu-repo/semantics/workingPaper
dc.version.typeinfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication2a64046b-da6c-4983-a3ad-21b5585f7d58
relation.isAuthorOfPublication79834522-bbb7-4e1c-9102-beb56277e30a
relation.isAuthorOfPublication.latestForDiscovery2a64046b-da6c-4983-a3ad-21b5585f7d58
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