Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Обоснованная теория, основанная на множестве кейсов× | Тематический анализ× | |
|---|---|---|
| Область≠ | Качественные методы | Качественные исследования |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s–1990s (integrative development) | 2006 |
| Автор метода≠ | Synthesised from Kathleen Eisenhardt (multiple-case logic) and Barney Glaser & Anselm Strauss (grounded theory) | Virginia Braun and Victoria Clarke |
| Тип≠ | Qualitative research design combining case study and grounded theory | Method |
| Основополагающий источник≠ | Eisenhardt, K. M. (1989). Building theories from case study research. Academy of Management Review, 14(4), 532–550. DOI ↗ | Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. DOI ↗ |
| Другие названия≠ | multi-case grounded theory, MCGT, comparative case grounded theory, cross-case grounded theory | TA, Reflexive Thematic Analysis |
| Связанные≠ | 6 | 3 |
| Сводка≠ | Multiple case-based grounded theory is a qualitative research design that embeds grounded theory's inductive coding logic inside a structured multiple-case framework. Rather than generating theory from a single site or interview pool, researchers iteratively collect and analyze data across two or more purposefully selected cases, using constant comparison both within and across cases until theoretical saturation is reached. The result is a substantive theory grounded in rich, cross-site empirical evidence. | 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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