Сравнение на методи
Прегледайте избраните методи един до друг; редовете с разлики са откроени.
| Мета-етнография× | Феноменология× | |
|---|---|---|
| Област≠ | Наукометрия | Качествени методи |
| Семейство | Process / pipeline | Process / pipeline |
| Година на възникване≠ | 1988 | Early 20th century (Husserl ~1900–1913; Heidegger ~1927) |
| Създател≠ | George W. Noblit and R. Dwight Hare | Edmund Husserl (transcendental); Martin Heidegger (hermeneutic) |
| Тип≠ | Qualitative evidence synthesis method | Qualitative research approach |
| Основополагащ източник≠ | Noblit, G. W., & Hare, R. D. (1988). Meta-ethnography: Synthesizing qualitative studies. Sage. ISBN: 978-0803930780 | Moustakas, C. (1994). Phenomenological Research Methods. Sage. ISBN: 978-0803957466 |
| Други названия≠ | qualitative meta-synthesis, interpretive synthesis, ethnographic synthesis, meta-ethnographic review | Fenomenoloji, phenomenological inquiry, phenomenological analysis |
| Свързани≠ | 4 | 6 |
| Резюме≠ | Meta-ethnography is a systematic method for synthesising findings across multiple qualitative studies by comparing and translating the conceptual frameworks and metaphors each study uses. Developed by Noblit and Hare in 1988, it produces a new interpretive account that goes beyond any single study, preserving the richness of qualitative data while generating broader theoretical insights. It is the most influential approach to qualitative evidence synthesis in health, social, and educational research. | Phenomenology is a qualitative research approach that investigates how participants live through and make sense of a specific experience. Rooted in the philosophy of Edmund Husserl and extended by Martin Heidegger, it aims to reveal the essential structures of lived experience rather than to measure or predict outcomes. The two most widely applied variants are Husserl's transcendental phenomenology, which seeks universal essences, and Heidegger's hermeneutic phenomenology, which emphasises interpretation within context. |
| ScholarGateНабор от данни ↗ |
|
|