Сравнение методов

	Цистемная конструктивная обоснованная теория	Цифровая обоснованная теория
Область	Качественные методы	Качественные методы
Семейство	Process / pipeline	Process / pipeline
Год появления	2000s–2010s	2000s–2010s (as digital data became mainstream in qualitative research)
Автор метода	Kathy Charmaz (CGT); applied to digital contexts by qualitative internet researchers	Adapted from Glaser & Strauss (1967); digital application developed through the work of Murthy (2008) and others in online qualitative research
Тип	Qualitative theory-building approach	Qualitative research design
Основополагающий источник	Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973539	Murthy, D. (2008). Digital ethnography: An examination of the use of new technologies for social research. Sociology, 42(5), 837–855.
Другие названия	Digital CGT, online constructivist grounded theory, digital-context CGT, constructivist GT with digital data	DGT, online grounded theory, internet-based grounded theory, grounded theory in digital contexts
Связанные	6	6
Сводка	Digital Constructivist Grounded Theory (Digital CGT) applies Kathy Charmaz's constructivist variant of grounded theory to data generated in digital environments — social media platforms, online communities, forums, digital interviews, and other internet-mediated spaces. It treats meaning as co-constructed between researcher and participant in digitally-mediated contexts, and generates theory grounded in how people make sense of experience through and within digital life.	Digital Grounded Theory applies the systematic inductive logic of grounded theory to data gathered from digital and online environments — social media platforms, forums, blogs, comment sections, and other internet-mediated communication. Rather than simply using grounded theory on text that happens to come from digital sources, it involves adapting sampling, collection, and ethical procedures to the specific affordances and constraints of online data, while retaining the core commitment to theory generation grounded in empirical material.