Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Визуально-стимулированный интерпретативный феноменологический анализ (ВИ-ИФА)× | Тематический анализ× | |
|---|---|---|
| Область≠ | Качественные методы | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2000s–2010s (IPA ~1996; VE-IPA integration from ~2005 onward) | 2006 |
| Автор метода≠ | Jonathan A. Smith (IPA); integrated with photo-elicitation tradition from Douglas Harper and others | Virginia Braun and Victoria Clarke |
| Тип≠ | Qualitative interpretive design | Method |
| Основополагающий источник≠ | Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretive 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≠ | VE-IPA, photo-elicitation IPA, image-based IPA, visual-method IPA | TA, Reflexive Thematic Analysis |
| Связанные | 3 | 3 |
| Сводка≠ | Visual Elicitation Interpretive Phenomenological Analysis (VE-IPA) combines the idiographic, sense-making framework of Interpretive Phenomenological Analysis with visual elicitation techniques — photographs, participant-produced drawings, or other images — to deepen access to lived experience. Visuals serve as concrete anchors that help participants articulate feelings and meanings that are difficult to express in words alone, making the approach especially productive for embodied, emotional, or tacit dimensions of experience. | 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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