Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Ethnographie institutionnelle comparative× | Étude de cas comparative× | |
|---|---|---|
| Domaine | Qualitatif | Qualitatif |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1987 (IE origin); comparative applications developed 1990s–2000s | 1984 (Yin); 1995 (Stake) |
| Auteur d'origine≠ | Dorothy E. Smith (IE foundation); comparative extension by subsequent IE scholars | Robert K. Yin; Robert E. Stake |
| Type≠ | Qualitative multi-site institutional design | Qualitative / mixed research design |
| Source fondatrice≠ | Smith, D. E. (2005). Institutional Ethnography: A Sociology for People. AltaMira Press. ISBN: 978-0759105508 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Alias | CIE, comparative IE, multi-site institutional ethnography, cross-institutional ethnography | cross-case study, multi-site case study, multiple case study design, comparative case analysis |
| Apparentées≠ | 5 | 4 |
| Résumé≠ | Comparative Institutional Ethnography (CIE) extends Dorothy Smith's institutional ethnography to two or more institutional settings, revealing how texts, ruling relations, and coordinated work practices operate across different organizational contexts. By holding the standpoint of workers or clients constant while varying the institutional site, CIE exposes both the shared ideological mechanisms and the local divergences that shape everyday experience within institutions such as hospitals, schools, welfare agencies, or courts. | 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. |
| ScholarGateJeu de données ↗ |
|
|