Сравнение методов

	Интерпретативная классическая обоснованная теория	Классическая обоснованная теория
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	1967 (classic GT); interpretivist epistemological framing: mid-1990s onward	1967
Автор метода	Barney G. Glaser and Anselm L. Strauss (classic GT); interpretivist framing elaborated by Merilyn Annells and others	Barney G. Glaser and Anselm L. Strauss
Тип	Qualitative theory-building method	Qualitative research method
Основополагающий источник	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202302607	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine.
Другие названия	interpretivist CGT, interpretivist classic GT, interpretive Glaserian grounded theory, interpretive emergent grounded theory	Glaserian GT, CGT, original grounded theory, classic GT
Связанные	6	6
Сводка	Interpretive classic grounded theory applies Glaser and Strauss's original discovery-oriented grounded theory procedures under an explicitly interpretivist epistemology. It retains classic GT's commitment to theory emergence — avoiding forced conceptual frameworks — while acknowledging that the researcher's interpretive lens shapes what is noticed and how meaning is constructed from data. This stance distinguishes it from purely objectivist readings of Glaser's later solo work and from constructivist grounded theory in its degree of inductive openness.	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.