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Enregistrement W4408227363 · doi:10.4103/cjrm.cjrm_88_24

Paradigms, values, assumptions and debates regarding ‘proper’ qualitative research

2025· article· en· W4408227363 sur OpenAlexaffvenue
Geoff Bardwell

Notice bibliographique

RevueCanadian Journal of Rural Medicine · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueQualitative Research Methods and Ethics
Établissements canadiensUniversity of Waterloo
Organismes subventionnairesnon disponible
Mots-clésQualitative researchEpistemologySociologyManagement scienceSocial sciencePhilosophyEconomics

Résumé

récupéré en direct d'OpenAlex

I was pleasantly surprised to learn about a letter to the Editor of CJRM questioning aspects of our qualitative approach in our recently published paper.1 From my experience, these dialogues are usually reserved for qualitative methodology journals and the PhD-level advanced qualitative research course that I teach every winter. While I appreciate the comments received, there are some incorrect assumptions made in this letter that warrant a response. First, research trustworthiness was called into question. As mentioned in our article, we utilised a community-based approach and we engaged a group of local partners, including people who use drugs, clinicians and other direct service providers, where results were shared and they provided feedback, which ‘enhance(d) the accuracy and trustworthiness of the results’.1 This is a key component of any community-based study and acts as a form of triangulation.2 Who better to assess the results of our study than those whom are tied to the very topic under consideration! Of course, those informed by the positivist realism paradigm would likely disagree with such an epistemological foundation that embraces the co-construction of knowledge through community engagement rather than obtaining an ‘objective reality’ through other sources (e.g., medical records). Assumptions were also made about the supposed ‘pillars’ of qualitative research with reference to various concepts such as reflexivity and data saturation. The assumption here is that these pillars cross all qualitative research, when in fact, their inclusion is dependent on which research paradigms, axiological and onto-epistemological assumptions, qualitative methodologies (e.g. grounded theory and ethnography) and analytic techniques (e.g., thematic analysis and axial coding) are informing the study at hand.3 For example, one of the founders of grounded theory, Glaser, does not support reflexivity given the ‘clean mental state’ that grounded theorists are to have before any study.4 Similarly, depending on the branch of qualitative phenomenology, reflexivity may hold strong (hermeneutic) versus no (transcendental) relevance.5 We conducted a thematic analysis in our study and did not rely on data saturation, and similarly, this concept is not a ‘pillar’ across all qualitative research. Saturation, or information redundancy, is aligned more so with positivist realism and some grounded theory approaches. For others, it has been highly criticised as a ‘logical fallacy’6 and critiqued by several prominent qualitative methodologists from the interpretivist paradigm, including Braun and Clarke for its incorrect use in thematic analysis, as saturation does not align with the values and assumptions embedded within constructivism/interpretivist approaches such as ours.7 Finally, while some readers may have benefited from a more fulsome discussion of our research approach, the word limit for most medical journals means that qualitative researchers need to be selective on what can be reported without taking away from the interview data. This was the case for this article and many others. Nevertheless, I hope this response has shed some light on our research, incorrect assumptions and current debates in qualitative research. I welcome dialogue on these important matters and perhaps this will lead to future editorial considerations in this journal on article length and reporting requirements for qualitative studies. Financial support and sponsorship: Nil. Conflicts of interest: There are no conflicts of interest.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,037
score de la tête « metaresearch » (Gemma)0,031
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Études des sciences et des technologies
Catégories consensuellesMétarecherche, Études des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,755
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0370,031
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,004
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,415
Tête enseignante GPT0,639
Écart entre enseignants0,224 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission2
Résumé présentoui

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