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| Διεξοδική Παραγοντική Ανάλυση για Διατακτικές Μεταβλητές× | Έλεγχος Αναλλοιότητας Μετρήσεων× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1984 | 2000 |
| Δημιουργός≠ | Bengt O. Muthén | Vandenberg & Lance |
| Τύπος≠ | Latent variable / structural | Multi-group confirmatory factor analysis procedure |
| Θεμελιώδης πηγή≠ | Flora, D. B. & Curran, P. J. (2004). An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data. Psychological Methods, 9(4), 466–491. DOI ↗ | Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70. DOI ↗ |
| Εναλλακτικές ονομασίες | CFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFA | Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği |
| Συναφείς≠ | 5 | 3 |
| Σύνοψη≠ | Ordinal confirmatory factor analysis (Ordinal CFA) tests a pre-specified factor structure when the observed indicators are ordinal — typically Likert-type survey items. By using polychoric correlations and robust estimators such as WLSMV, it avoids the bias that arises from treating categorical responses as continuous. | Measurement invariance testing is a sequence of nested confirmatory factor analysis (CFA) models that examines whether a psychological scale measures the same latent construct in the same way across distinct groups or time points. Systematized and popularized by Vandenberg and Lance (2000), the procedure tests a hierarchy of constraints — from identical factor patterns to identical item intercepts — so that researchers can justify meaningful group comparisons on latent means. |
| ScholarGateΣύνολο δεδομένων ↗ |
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