Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Nadharia ya Utafiti wa Kesi Nyingi yenye Msingi wa Nadharia× | Uchanganuzi wa Kaida× | |
|---|---|---|
| Nyanja≠ | Mbinu za Kimaelezo | Utafiti wa Kimaelezo |
| Familia | Process / pipeline | Process / pipeline |
| Mwaka wa asili≠ | 1980s–1990s (integrative development) | 2006 |
| Mwanzilishi≠ | Synthesised from Kathleen Eisenhardt (multiple-case logic) and Barney Glaser & Anselm Strauss (grounded theory) | Virginia Braun and Victoria Clarke |
| Aina≠ | Qualitative research design combining case study and grounded theory | Method |
| Chanzo asilia≠ | 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 ↗ |
| Majina mbadala≠ | multi-case grounded theory, MCGT, comparative case grounded theory, cross-case grounded theory | TA, Reflexive Thematic Analysis |
| Zinazohusiana≠ | 6 | 3 |
| Muhtasari≠ | 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. |
| ScholarGateSeti ya data ↗ |
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