Módszerek összehasonlítása

	Digital Classic Grounded Theory	Digitális grounded theory
Tudományterület	Kvalitatív módszerek	Kvalitatív módszerek
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1967 (classic GT); digital adaptation from early 2000s onward	2000s–2010s (as digital data became mainstream in qualitative research)
Megalkotó	Barney G. Glaser and Anselm L. Strauss (classic GT); digital application developed by subsequent methodologists	Adapted from Glaser & Strauss (1967); digital application developed through the work of Murthy (2008) and others in online qualitative research
Típus	Qualitative research design	Qualitative research design
Alapmű	Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202300283	Murthy, D. (2008). Digital ethnography: An examination of the use of new technologies for social research. Sociology, 42(5), 837–855.
Alternatív nevek	Digital CGT, online classic grounded theory, Glaserian digital grounded theory, classic GT in digital contexts	DGT, online grounded theory, internet-based grounded theory, grounded theory in digital contexts
Kapcsolódó	6	6
Összefoglaló	Digital 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.	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.