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Assessing Survey Satisficing

The Impact of Unmotivated Questionnaire Responding on Data Quality

Bibliographic Data

ID9730985
AuthorsChristine Calderon Vriesema (0000-0001-5168-7058, University of Wisconsin–Eau Claire, Eau Claire, WI, corresponding author), Hunter Gehlbach (0000-0002-2852-2666, Johns Hopkins School of Education, Baltimore, MD)
Year2021
Volume50
Issue9
Pages618-627
Publication date2021-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEducational Researcher (JOURNAL)
Journal identifiersISSN: 0013-189X • E-ISSN: 1935-102X
PublisherAmerican Educational Research Association (AERA) (PUBLISHER)
DOI10.3102/0013189x211040054
OpenAlexW3193899089
LanguageEN
Citations received6
References cited26

Education researchers use surveys widely. Yet, critics question respondents’ ability to provide high-quality responses. As schools increasingly use student surveys to drive local policy making, respondents’ (lack of) motivation to provide quality responses may threaten the wisdom of using questionnaires for data-based decision making. To better understand student satisficing—the practice of suboptimal responding on surveys—and its impact on data quality, we examined its pervasiveness and impact on a large-scale social–emotional learning survey administered to 409,721 elementary and secondary students. Findings indicated that despite the prevalence of satisficing, its impact on data quality appeared more modest than anticipated. We conclude by outlining an accessible approach for defining and calculating satisficing for researchers, practitioners, and policymakers

Geography · Quality (philosophy · Satisficing · Scale (ratio · Survey data collection · Computer Science · Evaluation and Performance Assessment · Psychology · School Choice and Performance · Social Psychology · Survey Methodology and Nonresponse

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Unique citing works6
Citations per year2
Citation span2023 - 2026 (4)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 6

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