Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Robust konfirmatorisk faktoranalyse× | Eksplorerende faktoranalyse (EFA)× | |
|---|---|---|
| Fagfelt | Statistikk | Statistikk |
| Familie | Latent structure | Latent structure |
| Opprinnelsesår≠ | 1984–1994 | — |
| Opphavsperson≠ | Satorra & Bentler (robust SE/chi-square corrections); Browne (ADF estimator) | — |
| Type≠ | Confirmatory latent variable model with robust estimation | Latent variable / dimension reduction |
| Opprinnelig kilde≠ | Satorra, A. & Bentler, P. M. (1994). Corrections to test statistics and standard errors in covariance structure analysis. In A. von Eye & C. C. Clogg (Eds.), Latent variables analysis: Applications for developmental research (pp. 399–419). Sage. link ↗ | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| Alias≠ | Robust CFA, CFA with robust standard errors, Satorra-Bentler CFA, non-normal CFA | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| Relaterte≠ | 6 | 4 |
| Sammendrag≠ | Robust confirmatory factor analysis fits a pre-specified factor structure to observed data while correcting standard errors and goodness-of-fit statistics for violations of multivariate normality. It is the preferred variant of CFA whenever Likert-type, skewed, or kurtotic indicators make the classical normal-theory estimator unreliable. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateDatasett ↗ |
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