方法对比
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| 模糊集定性比较分析× | 多因子分析× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 2000 | 1985 |
| 提出者≠ | Charles Ragin | Brigitte Escofier, Jérôme Pagès |
| 类型≠ | Set-theoretic configurational method | Multiblock dimension reduction |
| 开创性文献≠ | Ragin, C. C. (2008). Redesigning Social Inquiry: Fuzzy Sets and Beyond. University of Chicago Press. DOI ↗ | Escofier, B., & Pagès, J. (1985). Analyses factorielles simples et multiples : Objectifs, méthodes et interprétation. Dunod. ISBN: 9782040116835 |
| 别名 | fsQCA, FSQCA | MFA, MFA multiple |
| 相关≠ | 4 | 5 |
| 摘要≠ | Fuzzy-Set Qualitative Comparative Analysis (fsQCA) is a set-theoretic method developed by Charles Ragin in the early 2000s that combines the configurational logic of qualitative case studies with the mathematical rigor of fuzzy sets. It bridges qualitative and quantitative research by allowing researchers to examine causal complexity through combinations of conditions (configurations) rather than isolated variables. | Multiple Factor Analysis (MFA) is a dimension reduction technique developed by Escofier and Pagès (1985) for analyzing multiple groups of variables measured on the same observations. MFA balances the influence of each variable group to provide a unified view of how observations relate across multiple perspectives. |
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