手法を比較

	Multiple Case-Based Straussian Grounded Theory	複数事例研究
分野	質的手法	質的手法
系統	Process / pipeline	Process / pipeline
提唱年	1990s (synthesis of Strauss & Corbin 1990 and multi-case design conventions)	1980s–1990s (Yin's first edition 1984; Stake's collective case study concept 1995)
提唱者	Anselm Strauss & Juliet Corbin (Straussian GT); multiple-case design formalized by Robert K. Yin and Kathleen Eisenhardt	Robert K. Yin (systematic replication logic); Robert E. Stake (naturalistic/collective case tradition)
種類	Qualitative research design and analytic strategy	Qualitative research method
原典	Strauss, A., & Corbin, J. (1990). Basics of Qualitative Research: Grounded Theory Procedures and Techniques. Sage. ISBN: 978-0803932500	Yin, R. K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169
別名	multi-case Straussian GT, Strauss-Corbin grounded theory across cases, multiple-site Straussian grounded theory, multi-case GT (Strauss & Corbin)	comparative case study, multi-site case study, collective case study, cross-case analysis
関連	6	6
概要	Multiple case-based Straussian grounded theory combines Strauss and Corbin's systematic coding procedures — open, axial, and selective coding — with a multiple case design in which the same grounded theory analysis is conducted across two or more purposively selected cases. The approach aims to generate a mid-range theory grounded in rich, cross-case qualitative data while capitalizing on the comparative leverage offered by multiple sites or units, ultimately producing a theory with broader scope and stronger transferability than a single-case grounded theory study.	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.