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Thematic Analysis

2017· article· en· 12 861 citations· W2763766763 sur OpenAlex· 10.1177/1609406917733847

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Résumé

As qualitative research becomes increasingly recognized and valued, it is imperative that it is conducted in a rigorous and methodical manner to yield meaningful and useful results. To be accepted as trustworthy, qualitative researchers must demonstrate that data analysis has been conducted in a precise, consistent, and exhaustive manner through recording, systematizing, and disclosing the methods of analysis with enough detail to enable the reader to determine whether the process is credible. Although there are numerous examples of how to conduct qualitative research, few sophisticated tools are available to researchers for conducting a rigorous and relevant thematic analysis. The purpose of this article is to guide researchers using thematic analysis as a research method. We offer personal insights and practical examples, while exploring issues of rigor and trustworthiness. The process of conducting a thematic analysis is illustrated through the presentation of an auditable decision trail, guiding interpreting and representing textual data. We detail our step-by-step approach to exploring the effectiveness of strategic clinical networks in Alberta, Canada, in our mixed methods case study. This article contributes a purposeful approach to thematic analysis in order to systematize and increase the traceability and verification of the analysis.

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.

La notice

Revue
International Journal of Qualitative Methods
Thématique
Health Policy Implementation Science
Domaine
Health Professions
Établissements canadiens
University of Calgary
Organismes subventionnaires
Mots-clés
Thematic analysisComputer scienceTraceabilityThematic mapProcess (computing)Data sciencePresentation (obstetrics)Management scienceQualitative researchTrustworthinessQualitative analysisProcess managementSociologyEngineeringSoftware engineering
Résumé présent dans OpenAlex
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