手法を比較
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| 比較構成主義的グラウンデッド・セオリー× | 比較民族誌× | |
|---|---|---|
| 分野 | 質的手法 | 質的手法 |
| 系統 | Process / pipeline | Process / pipeline |
| 提唱年≠ | 2000s (Charmaz 2000; extended comparatively through 2006–2014) | 1987–1995 (systematic comparative ethnography formalized) |
| 提唱者≠ | Kathy Charmaz (constructivist strand); comparative application developed in qualitative methodology literature | George E. Marcus (multi-sited formulation); Charles C. Ragin (comparative logic) |
| 種類 | Qualitative comparative research design | Qualitative comparative research design |
| 原典≠ | Charmaz, K. (2006). Constructing Grounded Theory: A Practical Guide Through Qualitative Analysis. Sage. ISBN: 978-0761973133 | Marcus, G. E. (1995). Ethnography in/of the world system: The emergence of multi-sited ethnography. Annual Review of Anthropology, 24, 95–117. DOI ↗ |
| 別名 | Comparative CGT, cross-group constructivist grounded theory, comparative Charmaz grounded theory, multi-site constructivist grounded theory | multi-sited ethnography, cross-site ethnography, comparative field research, comparative participant observation |
| 関連 | 6 | 6 |
| 概要≠ | Comparative Constructivist Grounded Theory combines Kathy Charmaz's constructivist strand of grounded theory with an explicit comparative design, deliberately collecting and analyzing data from two or more groups, settings, or time points to build a theory that accounts for variation and similarity across contexts. The constructivist perspective treats categories and theory as co-constructed between researcher and participants rather than discovered objectively from data. | Comparative ethnography is a qualitative research design that conducts in-depth ethnographic fieldwork across two or more sites, groups, communities, or cultural settings in order to generate systematic comparisons. Rather than describing a single community in isolation, it traces similarities, differences, and interconnections across cases, producing theoretically grounded insights that no single site could yield alone. |
| ScholarGateデータセット ↗ |
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