Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Порівняльний інтерпретативний феноменологічний аналіз× | Порівняльне дослідження випадків× | |
|---|---|---|
| Галузь | Якісні методи | Якісні методи |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1996 (IPA); comparative applications prominent from 2000s onward | 1984 (Yin); 1995 (Stake) |
| Автор методу≠ | Jonathan A. Smith (IPA); comparative extension by IPA research community | Robert K. Yin; Robert E. Stake |
| Тип≠ | Qualitative research design | Qualitative / mixed research design |
| Основоположне джерело≠ | Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Method and Research. Sage. ISBN: 978-1412908344 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Інші назви | Comparative IPA, cross-group IPA, IPA comparative design, multi-group interpretative phenomenological analysis | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | Comparative Interpretative Phenomenological Analysis (Comparative IPA) applies the IPA framework — developed by Jonathan A. Smith — to examine and contrast the lived experiences of two or more distinct groups or individuals. Rather than producing a single composite description, it preserves within-group detail and then performs a principled cross-group comparison, revealing how the same phenomenon is experienced differently depending on context, identity, or circumstance. | Comparative case study is a qualitative research design in which two or more bounded cases are studied in depth and then systematically compared to identify similarities, differences, and patterns across contexts. Rooted in Yin's replication logic and Stake's multiple case framework, it is particularly suited to questions that ask how or why a phenomenon unfolds differently — or similarly — across distinct settings, populations, or time periods. |
| ScholarGateНабір даних ↗ |
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