Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Критический интерпретативный феноменологический анализ× | Тематический анализ× | |
|---|---|---|
| Область≠ | Качественные методы | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1996 (IPA); critical variant explicitly theorised in the 2000s–2010s | 2006 |
| Автор метода≠ | Jonathan A. Smith (IPA); critical extension developed within the IPA tradition by Smith, Flowers, Larkin and associated scholars | Virginia Braun and Victoria Clarke |
| Тип≠ | Qualitative research design and analytic approach | Method |
| Основополагающий источник≠ | Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344 | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия≠ | Critical IPA, CIPA, critical-lens IPA, critical interpretive phenomenology | TA, Reflexive Thematic Analysis |
| Связанные≠ | 5 | 3 |
| Сводка≠ | Critical Interpretative Phenomenological Analysis (Critical IPA) is a qualitative approach that combines the double-hermeneutic interpretive work of standard IPA with an explicit critical lens, examining not only how participants make sense of their experience but also how power, social structures, ideology, and systemic inequalities shape that experience. It retains the ideographic, person-centred rigour of IPA while asking whose interests are served and what is silenced or constrained. | 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. |
| ScholarGateНабор данных ↗ |
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