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Classic Grounded Theory×액션 리서치×사례 연구×
분야질적 방법질적 연구질적 방법
계열Process / pipelineProcess / pipelineProcess / pipeline
기원 연도196719461984 (seminal codification)
창시자Barney G. Glaser and Anselm L. StraussKurt Lewin; expanded by Kemmis, McTaggart, Reason & BradburyRobert K. Yin (systematised in Case Study Research, 1984)
유형Qualitative research methodMethodQualitative research design
원전Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. link ↗Lewin, K. (1946). Action research and minority problems. Journal of Social Issues, 2(4), 34–46. DOI ↗Yin, R.K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169
별칭Glaserian GT, CGT, original grounded theory, classic GTParticipatory Action Research, PAR, Collaborative InquiryVaka Çalışması (Case Study), case study design, case study methodology
관련615
요약Classic Grounded Theory (CGT) is a systematic qualitative methodology for generating substantive theory from empirical data. Developed by Barney Glaser and Anselm Strauss in 1967, it uses iterative cycles of data collection, constant comparison, and memo writing to produce a core category and surrounding conceptual framework that explains a social or psychological process. Unlike its later variants, Glaserian CGT insists on emergence — theory must arise from data without forcing preconceived frameworks.Action research is a collaborative research methodology in which researchers work with practitioners and community members to investigate a problem, implement change, and evaluate outcomes, cycling through reflection, action, and learning. Developed by Kurt Lewin (1946), action research bridges research and practice, aiming simultaneously to produce knowledge and practical improvement.Case study research is a qualitative research design that investigates a specific phenomenon, individual, group, organisation, or event in depth within its real-world context. Systematised by Robert K. Yin in 1984, it supports single-case and multiple-case designs and draws on multiple data sources — interviews, observation, documents, and artefacts — to build a rich, contextualised account of a bounded unit.
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