Sammenlign metoder
Gennemgå dine valgte metoder side om side; rækker, der afviger, er fremhævet.
| Multipel case-baseret fortolkende fænomenologisk analyse× | Komparativ casestudie× | |
|---|---|---|
| Fagområde | Kvalitativ | Kvalitativ |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1996 (IPA); multi-case design consolidated circa 2009 | 1984 (Yin); 1995 (Stake) |
| Ophavsperson≠ | Jonathan A. Smith (IPA); multi-case extension elaborated by Smith, Flowers & Larkin | Robert K. Yin; Robert E. Stake |
| Type≠ | Qualitative interpretive research design | Qualitative / mixed research design |
| Oprindelig kilde≠ | Smith, J. A., Flowers, P., & Larkin, M. (2009). Interpretive 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 |
| Aliasser | multi-case IPA, multiple-case IPA, cross-case interpretive phenomenological analysis, IPA multiple case design | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Relaterede≠ | 5 | 4 |
| Resumé≠ | Multiple case-based interpretive phenomenological analysis (multi-case IPA) applies the close, idiographic reading of IPA to a set of purposively selected cases, conducting detailed within-case analysis before systematically comparing themes across cases. The approach retains IPA's commitment to understanding individual lived experience in depth while allowing the researcher to identify convergent and divergent patterns across structurally similar situations or participant groups. | 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. |
| ScholarGateDatasæt ↗ |
|
|