方法对比
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| 偏最小二乘结构方程模型× | 模糊方差分析 (Fuzzy ANOVA)× | |
|---|---|---|
| 领域 | 心理测量学 | 心理测量学 |
| 方法族 | Latent structure | Latent structure |
| 起源年份≠ | 1985 | 2011 |
| 提出者≠ | Herman Wold | Reinhard Viertl |
| 类型≠ | Component-based structural equation model | Analysis of variance for fuzzy data |
| 开创性文献≠ | Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications. ISBN: 9781483377445 | Viertl, R. (2011). Statistical Methods for Fuzzy Data. Wiley. ISBN: 9780470664802 |
| 别名≠ | PLS-SEM, PLS path modeling | — |
| 相关≠ | 5 | 4 |
| 摘要≠ | PLS-SEM is a variance-based approach to structural equation modeling developed by Herman Wold (1985) that estimates latent variable models by maximizing the variance explained in dependent variables. Unlike covariance-based SEM, PLS-SEM is particularly useful for exploratory research, small to medium samples, complex models with many constructs, and non-normal data. | Fuzzy ANOVA extends classical analysis of variance to fuzzy data where observations and group memberships are imprecise or uncertain. Developed by Viertl and others, Fuzzy ANOVA tests whether fuzzy-valued groups differ significantly while accounting for inherent measurement uncertainty. |
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