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Teoria Fonamentada Clàssica Digital×Teoria Fonamentada Clàssica×
CampQualitativaQualitativa
FamíliaProcess / pipelineProcess / pipeline
Any d'origen1967 (classic GT); digital adaptation from early 2000s onward1967
Autor originalBarney G. Glaser and Anselm L. Strauss (classic GT); digital application developed by subsequent methodologistsBarney G. Glaser and Anselm L. Strauss
TipusQualitative research designQualitative research method
Font seminalGlaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202300283Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. link ↗
ÀliesDigital CGT, online classic grounded theory, Glaserian digital grounded theory, classic GT in digital contextsGlaserian GT, CGT, original grounded theory, classic GT
Relacionats66
ResumDigital Classic Grounded Theory applies Glaser and Strauss's original (Glaserian) grounded theory methodology to data collected from online and digital environments — including social media, online forums, email threads, and chat logs. It preserves the inductive, emergence-focused logic of classic GT while adapting sampling, data collection, and ethical practices to the digital context, aiming to generate a grounded substantive theory that explains a social or psychological process as it unfolds online.Classic 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.
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ScholarGateCompara mètodes: Digital Classic Grounded Theory · Classic Grounded Theory. Recuperat el 2026-06-19 de https://scholargate.app/ca/compare