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| Ethnographie numérique basée sur des cas multiples× | Étude de cas multiples× | |
|---|---|---|
| Domaine | Qualitatif | Qualitatif |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 2000s–2010s | 1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995) |
| Auteur d'origine≠ | Christine Hine (virtual ethnography); Sarah Pink et al. (digital ethnography); cross-case logic from Robert Yin | Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition) |
| Type≠ | Qualitative comparative research design | Qualitative research method |
| Source fondatrice≠ | Hine, C. (2000). Virtual Ethnography. Sage. ISBN: 978-0761958956 | Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169 |
| Alias | multi-case digital ethnography, comparative digital ethnography, cross-case digital ethnography, multi-site digital ethnography | comparative case study, multi-site case study, collective case study, cross-case analysis |
| Apparentées≠ | 5 | 6 |
| Résumé≠ | Multiple case-based digital ethnography is a qualitative research design that conducts ethnographic fieldwork across two or more purposefully selected digital sites or communities, then systematically compares findings across cases. Rooted in digital ethnography's immersive, interpretive tradition and in multiple case study logic, it reveals both site-specific practices and cross-cutting patterns in online social life. It is especially suited to questions about how similar phenomena are enacted differently across digital platforms, communities, or cultural contexts. | Multiple-case study design investigates two or more bounded real-world cases using the same research protocol, then compares findings across cases to identify patterns, contrasts, and explanatory insights that a single case could not produce. Developed primarily through Robert Yin's replication logic and Robert Stake's collective case tradition, the approach is particularly powerful when a researcher needs to determine whether a phenomenon occurs under varied conditions or to test an emerging theoretical explanation against rival contexts. |
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