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Shedding the cobra effect: problematising thematic emergence, triangulation, saturation and member checking
Open accessAbstract
Context: Qualitative research is widely accepted as a legitimate approach to inquiry in health professions education ( HPE ). To secure this status, qualitative researchers have developed a variety of strategies (e.g. reliance on post‐positivist qualitative methodologies, use of different rhetorical techniques, etc.) to facilitate the acceptance of their research methodologies and methods by the HPE community. Although these strategies have supported the acceptance of qualitative research in HPE , they have also brought about some unintended consequences. One of these consequences is that some HPE scholars have begun to use terms in qualitative publications without critically reflecting on: (i) their ontological and epistemological roots; (ii) their definitions, or (iii) their implications. Objectives: In this paper, we share our critical reflections on four qualitative terms popularly used in the HPE literature: thematic emergence; triangulation; saturation, and member checking. Methods: We discuss the methodological origins of these terms and the applications supported by these origins. We reflect critically on how these four terms became expected of qualitative research in HPE , and we reconsider their meanings and use by drawing on the broader qualitative methodology literature. Conclusions: Through this examination, we hope to encourage qualitative scholars in HPE to avoid using qualitative terms uncritically and non‐reflexively.
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“In the reviewed articles, for example, authors made reference to concepts, concerns and practices that reflect (post) positivist concerns – and ones which are often entirely normalised within disciplinary contexts.”
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“Luckily, qualitative methodologists have already done a lot of the heavy lifting here (e.g., Braun & Clarke, 2021b;Smith & McGannon, 2018;Varpio et al., 2017Varpio et al., , 2021)), presenting thoughtful considerations of what's assumed and at stake in various supposedly universal criteria.”
From Toward good practice in thematic analysis: Avoiding common problems and be(com)ing a knowing researcher (2023) · cites this paper as Varpio et al., 2017
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“This concept is widely debated, however, and Varpio et al. provides a great description of why information power might be a better concept.6”
From How to … assess the quality of qualitative research (2020) · cites this paper as [6]
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“Varpio et al. further explain how the concepts of triangulation or crystallisation are used as a quality marker in somewhat different ways, depending on the paradigm.6”
From How to … assess the quality of qualitative research (2020) · cites this paper as [6]
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Metadata
- Authors
- Varpio, L., Ajjawi, R., Monrouxe, L. V., O'Brien, B. C., & Rees, C. E.
- Affiliations
- Uniformed Services University of the Health Sciences (US)
- Deakin University (AU)
- Chang Gung Memorial Hospital (TW)
- Department of Medicine University of California San Francisco San Francisco California USA
- Monash University (AU)
- Corresponding author
- Varpio, Lara
- Venue
- Medical Education
- Publisher
- Wiley
- Published
- 2016-12-16
- Volume
- 51
- Issue
- 1
- Pages
- 40-50
- ISSN
- 0308-0110 (ISSN-L)
- 1365-2923
- OpenAlex
- W2562778769
- Semantic Scholar
- f6cc49a0d5ae5b26dadfdbc5c52c7ebf8dea5908
- Cited by
- 1,028
- References
- 64
- Citations by year
- 2026: 146 · 2025: 169 · 2024: 167 · 2023: 138 · 2022: 137 · 2021: 108 · 2020: 59 · 2019: 44 · 2018: 41 · 2017: 16 · 2016: 2
- FWCI
- 152.39
- Type
- journal article
- Language
- en
- Open access
- green
- figshare.com
- Locations
- Medical Education (publishedVersion)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- NOVA (University of Newcastle Australia) (submittedVersion)
- Topics
- Social Sciences › Education › Qualitative Research Methods and Applications
- Social Sciences › Education › Innovations in Medical Education
- Social Sciences › Sociology and Political Science › Qualitative Research Methods and Ethics
- Keywords
- qualitative research methodology, health professions education, triangulation, saturation, member checking, reflexivity, ontological and epistemological assumptions, research legitimacy
- MeSH terms
- Health Occupations, Humans, Research Design, Qualitative Research
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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