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| Δοκιμή Διαχρονικής Αμεταβλητότητας Μέτρησης× | Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1993 | 1969 |
| Δημιουργός≠ | William Meredith | Karl Gustav Jöreskog |
| Τύπος≠ | Measurement model testing | Hypothesis-testing latent variable model |
| Θεμελιώδης πηγή≠ | Meredith, W. (1993). Measurement invariance, factor analysis and factorial invariance. Psychometrika, 58(4), 525–543. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Εναλλακτικές ονομασίες | LMI, longitudinal invariance, measurement equivalence across time, temporal measurement invariance | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Συναφείς≠ | 3 | 4 |
| Σύνοψη≠ | Longitudinal measurement invariance testing determines whether a psychological scale measures the same construct in the same way across two or more time points. It is a prerequisite for interpreting mean-level change scores in panel and repeated-measures studies, ensuring that observed change reflects true change in the construct rather than drift in the measurement instrument. | 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. |
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