Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)× | Αξιοπιστία Επαναληπτικών Μετρήσεων× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1969 | 1904 |
| Δημιουργός≠ | Karl Gustav Jöreskog | Karl Pearson |
| Τύπος≠ | Hypothesis-testing latent variable model | Reliability estimate |
| Θεμελιώδης πηγή≠ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ | Nunnally, J. C. & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill. ISBN: 978-0070478497 |
| Εναλλακτικές ονομασίες | CFA, confirmatory FA, measurement model, restricted factor analysis | stability reliability, temporal stability, repeatability coefficient, TRT reliability |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | 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. | Test-retest reliability quantifies the temporal consistency of a measure by correlating scores obtained from the same participants on two separate occasions. It is a cornerstone of psychometric validation, directly indicating whether a scale or instrument yields stable scores when the underlying construct has not changed. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|