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Grounded Theory Clásica Digital×Grounded Theory Clásica×
CampoCualitativaCualitativa
FamiliaProcess / pipelineProcess / pipeline
Año de 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
TipoQualitative research designQualitative research method
Fuente 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 ↗
AliasDigital CGT, online classic grounded theory, Glaserian digital grounded theory, classic GT in digital contextsGlaserian GT, CGT, original grounded theory, classic GT
Relacionados66
ResumenDigital 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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ScholarGateComparar métodos: Digital Classic Grounded Theory · Classic Grounded Theory. Recuperado el 2026-06-19 de https://scholargate.app/es/compare