方法对比
并排查看您选择的方法;存在差异的行会高亮显示。
| 数字经典扎根理论× | 数字建构主义扎根理论× | |
|---|---|---|
| 领域 | 质性 | 质性 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1967 (classic GT); digital adaptation from early 2000s onward | 2000s–2010s |
| 提出者≠ | Barney G. Glaser and Anselm L. Strauss (classic GT); digital application developed by subsequent methodologists | Kathy Charmaz (CGT); applied to digital contexts by qualitative internet researchers |
| 类型≠ | Qualitative research design | Qualitative theory-building approach |
| 开创性文献≠ | Glaser, B. G., & Strauss, A. L. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Aldine. ISBN: 978-0202300283 | Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973539 |
| 别名 | Digital CGT, online classic grounded theory, Glaserian digital grounded theory, classic GT in digital contexts | Digital CGT, online constructivist grounded theory, digital-context CGT, constructivist GT with digital data |
| 相关 | 6 | 6 |
| 摘要≠ | 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 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. |
| ScholarGate数据集 ↗ |
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