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Detecting and Preventing Imposter Participants

Methods and Recommendations for Qualitative Researchers

Bibliographic Data

ID4710159
AuthorsKristina Medero (0000-0003-1338-785X, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA, corresponding author), Hamdi Abdi (0000-0002-7625-0036, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA), Hamdi I Abdi (0000-0002-1191-0726, University of Minnesota), Ceron Ford (0009-0000-1894-5588, Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA), Sarah E Gollust (0000-0001-6109-5953, University of Minnesota), Sarah Gollust (Division of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, MN, USA)
Year2025
Pages10497323251333243-10497323251333243
Publication date2025-04-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueQualitative Health Research (JOURNAL)
Journal identifiersISSN: 1049-7323 • E-ISSN: 1552-7557
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/10497323251333243
PMID40249633
OpenAlexW4409591727
LanguageEN
Citations received9
References cited16

During the COVID-19 pandemic, many qualitative researchers were forced to alter their data collection methods as traditional face-to-face interviews and focus groups were prohibited by social distancing requirements. While the shift to remote and digital platforms has undoubtedly provided numerous benefits, such as more flexibility and reach, it has also introduced new challenges, particularly the risk of imposter participants, or dishonest or false participants who fabricate their identities or exaggerate their experiences to join a study. Through reflection on two case studies, we identified several red flags, which we categorized according to phases of the research process-recruitment and data collection. Based on the red flags, we provide methods and recommendations for detecting and preventing imposter participants from impacting the validity and trustworthiness of qualitative research. Researchers must routinely implement these recommendations for qualitative research as technology becomes a more attractive avenue for recruiting potential participants, particularly participants belonging to populations often described as "hard to reach." However, these problems are structural and require institutional attention. We, therefore, pose recommendations for academia, institutional review boards, publishers, and reviewers of qualitative research

Data collection · Distancing · FLAGS register · Focus group · Internet privacy · Medical education · Qualitative property · Qualitative research · Sociology · Trustworthiness · Applied Psychology · Computer Science · Digital Mental Health Interventions · Focus Groups and Qualitative Methods · Impact of Technology on Adolescents · Medicine · Psychology · Social Psychology

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    Open Access•Emma Hunter, Rebecca Ann Stone et al.•International Journal of Social…•2025

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    Open Access•Jessica Rees, Wei Liu et al.•Critical Public Health•2025

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    Open Access•Yan S Zhu, Abigail Wilpers et al.•Qualitative Health Research•2025

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    Open Access•Damien Ridge, Laurna Bullock et al.•Health Expectations•2023

  • Dematerialized participation challenges

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    Open Access•K Mistry, Sophie Merrick et al.•Qualitative Health Research•2024

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    Open Access•John Lawlor, Carl Thomas et al.•Methodological Innovations•2021

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    K Drysdale, Nathanael Wells et al.•Health Sociology Review•2023

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Unique citing works9
Citations per year9
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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