Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Modelado de Ecuaciones Estructurales por Mínimos Cuadrados Parciales× | Fuzzy ANOVA× | |
|---|---|---|
| Campo | Psicometría | Psicometría |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 1985 | 2011 |
| Autor original≠ | Herman Wold | Reinhard Viertl |
| Tipo≠ | Component-based structural equation model | Analysis of variance for fuzzy data |
| Fuente seminal≠ | 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 |
| Alias≠ | PLS-SEM, PLS path modeling | — |
| Relacionados≠ | 5 | 4 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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