方法对比

	案例研究	数字民族志	扎根理论
领域	质性	质性	质性研究
方法族	Process / pipeline	Process / pipeline	Process / pipeline
起源年份	1984 (seminal codification)	Late 1990s – 2000s	1967
提出者	Robert K. Yin (systematised in Case Study Research, 1984)	Christine Hine (virtual ethnography); Robert V. Kozinets (netnography)	Barney Glaser and Anselm Strauss
类型	Qualitative research design	Qualitative research method	Method
开创性文献	Yin, R.K. (2018). Case Study Research and Applications: Design and Methods (6th ed.). Sage. ISBN: 978-1506336169	Kozinets, R. V. (2010). Netnography: Doing Ethnographic Research Online. Sage. ISBN: 978-1847875228	Glaser, B. G., & Strauss, A. L. (1967). The discovery of grounded theory: Strategies for qualitative research. Aldine.
别名	Vaka Çalışması (Case Study), case study design, case study methodology	online ethnography, virtual ethnography, internet ethnography, netnography	GT, Grounded Theory Approach
相关	5	6	3
摘要	Case study research is a qualitative research design that investigates a specific phenomenon, individual, group, organisation, or event in depth within its real-world context. Systematised by Robert K. Yin in 1984, it supports single-case and multiple-case designs and draws on multiple data sources — interviews, observation, documents, and artefacts — to build a rich, contextualised account of a bounded unit.	Digital ethnography is a qualitative research method that adapts traditional ethnographic fieldwork to online and digitally mediated settings. Drawing on sustained participant observation, document collection, and sometimes interviews, the researcher immerses themselves in one or more digital communities — social media platforms, forums, gaming spaces, or messaging groups — to understand how culture, identity, and social practice are constructed through digital interaction. The approach recognises that online spaces are not merely reflections of offline life but distinctive sites of cultural production in their own right.	Grounded Theory (GT) is a systematic qualitative research methodology in which theory emerges directly from data through iterative analysis, rather than being imposed before data collection. Developed by Barney Glaser and Anselm Strauss in 1967, GT prioritizes generating explanatory frameworks grounded in evidence.