ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Autoethnographie à cas multiples×Étude de cas multiples×
DomaineQualitatifQualitatif
FamilleProcess / pipelineProcess / pipeline
Année d'origine2000s–2010s1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995)
Auteur d'origineHeewon Chang, Faith Ngunjiri, Kathy-Ann Hernandez (collaborative autoethnography); broader tradition from Carolyn Ellis and Arthur BochnerRobert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition)
TypeQualitative research design variantQualitative research method
Source fondatriceChang, H., Ngunjiri, F. W., & Hernandez, K. A. C. (2013). Collaborative Autoethnography. Left Coast Press. ISBN: 978-1611321104Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169
Aliascollective autoethnography, multi-case autoethnography, collaborative autoethnography, multi-site autoethnographycomparative case study, multi-site case study, collective case study, cross-case analysis
Apparentées46
RésuméMultiple case-based autoethnography is a qualitative design that extends autoethnographic inquiry across two or more researcher-participants or cases, enabling systematic comparison of personal lived experiences within a shared cultural or social phenomenon. By generating rich first-person narratives from each case and then conducting a structured cross-case analysis, the approach combines the depth and reflexivity of autoethnography with the comparative analytical power of multiple case design.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.
ScholarGateJeu de données
  1. v1
  2. 2 Sources
  3. PUBLISHED
  1. v1
  2. 2 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: Multiple case-based autoethnography · Multiple-Case Study. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare