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数字扎根理论×建构主义扎根理论×
领域质性质性
方法族Process / pipelineProcess / pipeline
起源年份2000s–2010s (as digital data became mainstream in qualitative research)2000s (Charmaz 2000–2006; classic GT roots 1967)
提出者Adapted from Glaser & Strauss (1967); digital application developed through the work of Murthy (2008) and others in online qualitative researchKathy Charmaz (building on Glaser & Strauss, 1967)
类型Qualitative research designQualitative research method
开创性文献Murthy, D. (2008). Digital ethnography: An examination of the use of new technologies for social research. Sociology, 42(5), 837–855. DOI ↗Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973539
别名DGT, online grounded theory, internet-based grounded theory, grounded theory in digital contextsCGT, constructivist GT, Charmaz grounded theory, interpretive grounded theory
相关66
摘要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.Constructivist Grounded Theory (CGT) is a qualitative methodology developed by Kathy Charmaz that systematically builds mid-range theory from empirical data through iterative coding, memo-writing, and theoretical sampling. Unlike the original objectivist version by Glaser and Strauss, CGT treats both data and theory as co-constructed between researcher and participants, acknowledging the researcher's interpretive perspective as an integral part of the analytic process rather than a source of bias to be eliminated.
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  3. PUBLISHED

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ScholarGate方法对比: Digital Grounded Theory · Constructivist Grounded Theory. 于 2026-06-18 检索自 https://scholargate.app/zh/compare