Compara mètodes
Revisa els mètodes seleccionats l'un al costat de l'altre; les files que difereixen es ressalten.
| Anàlisi Fenomenològica Interpretativa Comparativa× | Estudi de cas comparatiu× | |
|---|---|---|
| Camp | Qualitativa | Qualitativa |
| Família | Process / pipeline | Process / pipeline |
| Any d'origen≠ | 1996 (IPA); comparative applications prominent from 2000s onward | 1984 (Yin); 1995 (Stake) |
| Autor original≠ | Jonathan A. Smith (IPA); comparative extension by IPA research community | Robert K. Yin; Robert E. Stake |
| Tipus≠ | Qualitative research design | Qualitative / mixed research design |
| Font seminal≠ | 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 |
| Àlies | 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 |
| Relacionats≠ | 5 | 4 |
| Resum≠ | 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. |
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