Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Επιβεβαιωτική Παραγοντική Ανάλυση Πολλαπλών Ομάδων (MG-CFA)× | Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1971 | 1969 |
| Δημιουργός≠ | Karl Jöreskog | Karl Gustav Jöreskog |
| Τύπος≠ | Measurement model / invariance test | Hypothesis-testing latent variable model |
| Θεμελιώδης πηγή≠ | Vandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Εναλλακτικές ονομασίες | MG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFA | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Συναφείς≠ | 6 | 4 |
| Σύνοψη≠ | Multi-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|