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Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Teoria fonamentada interpretativa straussiana× | Anàlisi Temàtica× | |
|---|---|---|
| Camp≠ | Qualitativa | Recerca qualitativa |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1990 (Strauss & Corbin seminal text); interpretivist grounded theory consolidation 1990s–2000s | 2006 |
| Autor original≠ | Anselm Strauss and Juliet Corbin (Straussian procedures); interpretivist framing draws on Dilthey, Weber, and Blumer | Virginia Braun and Victoria Clarke |
| Tipus≠ | Qualitative theory-building approach | Method |
| Font seminal≠ | Strauss, A., & Corbin, J. (1990). Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Sage. ISBN: 978-0803932517 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Àlies≠ | Straussian GT (interpretivist), interpretivist grounded theory, Strauss-Corbin grounded theory, systematic grounded theory | TA, Reflexive Thematic Analysis |
| Relacionats≠ | 6 | 3 |
| Resum≠ | Interpretive Straussian grounded theory combines the systematic coding procedures developed by Anselm Strauss and Juliet Corbin with an interpretivist epistemological stance. It uses open, axial, and selective coding — structured around a paradigm model of conditions, actions, and consequences — to inductively build a substantive theory from qualitative data, while acknowledging that the researcher actively constructs meaning rather than discovering pre-existing facts. | Thematic Analysis (TA) is a qualitative research methodology for identifying, analyzing, and reporting patterns (themes) in qualitative data. Developed systematically by Virginia Braun and Victoria Clarke (2006), TA is flexible and accessible, applicable across diverse theoretical frameworks and data types, making it one of the most widely used qualitative methods in psychology, health research, and social sciences. |
| ScholarGateConjunt de dades ↗ |
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