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What Predicts Willingness to Participate in a Follow-up Panel Study among Respondents to a National Web/Mail Survey

Datos Bibliográficos

ID2407705
AutoresHtay-Wah Saw (0000-0001-7735-9837, University of Michigan, autor de correspondencia), Brady T West (0000-0003-0160-1388, University of Michigan), Mick P Couper (0000-0001-5006-9346, University of Michigan), William G Axinn (0000-0002-0496-0485, University of Michigan)
Año2024
Volumen36
Número3
Páginas206-212
Fecha de publicación2024-08-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaCAM (JOURNAL)
Identificadores de la revistaISSN: 1087-8513 • E-ISSN: 1552-3969
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/1525822x231193311
PMID39045038
OpenAlexW4385722633
IdiomaEN
Referencias citadas2

The American Family Health Study (AFHS) collected family health and fertility data from a national probability sample of persons aged 18-49 between September 2021 and May 2022, using web and mail exclusively. In July 2022, we surveyed AFHS respondents and gauged their willingness to become part of a national web panel that would create novel longitudinal data on these topics. We focus on predictors of willingness to participate, identifying the potential selection bias that this type of approach may introduce. We found that efforts of this type to create a national web panel may introduce potential selection bias in estimates based on the panel respondents, with individuals having higher socioeconomic status being more cooperative. Thus, alternative recruitment strategies and re-weighting of the subsample may be needed to further reduce selection bias. We present methodological implications of our results, limitations of our approach, and suggestions for further research on this topic

Environmental health · Non-response bias · Population · Sample (material · Selection (genetic algorithm · Selection bias · Socioeconomic status · Statistics · Web survey · Weighting · World Wide Web · Behavioral Health and Interventions · Computer Science · Health disparities and outcomes · Mathematics · Medicine · Psychology · Survey Methodology and Nonresponse

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    Open Access•K B Guzzo, Sarah R Hayford et al.•Demography•2019

Velocidad de citaciónhistorical
Altamente citadoNo
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