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Étude de cas multiples×Recherche à méthodes mixtes×
DomaineQualitatifQualitatif
FamilleProcess / pipelineProcess / pipeline
Année d'origine1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995)
Auteur d'origineRobert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition)
TypeQualitative research methodResearch design framework
Source fondatriceYin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169Creswell, J.W. & Plano Clark, V.L. (2018). Designing and Conducting Mixed Methods Research (3rd ed.). Sage. ISBN: 978-1483344379
Aliascomparative case study, multi-site case study, collective case study, cross-case analysisKarma Yöntem Araştırması (Mixed Methods), multi-method research, triangulation design
Apparentées64
RésuméMultiple-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.Mixed methods research is a systematic research design in which quantitative and qualitative data are collected and analysed within a single study. Formalised by Creswell and Plano Clark (2003, 3rd ed. 2018), it offers three principal design variants — concurrent, sequential, and transformative — and strengthens findings through triangulation across both data strands.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: Multiple-Case Study · Mixed Methods Research. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare