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| Συγκλίνουσα Εγκυρότητα× | Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1959 | 1969 |
| Δημιουργός≠ | Donald T. Campbell & Donald W. Fiske | Karl Gustav Jöreskog |
| Τύπος≠ | Validity evidence / construct validation | Hypothesis-testing latent variable model |
| Θεμελιώδης πηγή≠ | Campbell, D. T., & Fiske, D. W. (1959). Convergent and discriminant validation by the multitrait-multimethod matrix. Psychological Bulletin, 56(2), 81–105. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Εναλλακτικές ονομασίες≠ | convergent construct validity, convergence validity, AVE-based convergent validity | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | Convergent validity is the degree to which multiple indicators that are theoretically expected to measure the same construct actually correlate with one another. It is one of the two complementary forms of construct validity identified by Campbell and Fiske (1959) and is now routinely assessed via factor loadings and the Average Variance Extracted (AVE) statistic in SEM-based scale validation. | 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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