Compara mètodes

	Anàlisi Factorial Confirmatòria Ordinal	Proves d'invariància de la mesura
Camp	Psicometria	Psicometria
Família	Latent structure	Latent structure
Any d'origen	1984	2000
Autor original	Bengt O. Muthén	Vandenberg & Lance
Tipus	Latent variable / structural	Multi-group confirmatory factor analysis procedure
Font seminal	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.	Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature. Organizational Research Methods, 3(1), 4–70.
Àlies	CFA for ordinal data, polychoric CFA, WLSMV CFA, categorical CFA	Factorial Invariance, Measurement Equivalence, Configural-Metric-Scalar Testing, Ölçüm Değişmezliği
Relacionats	5	3
Resum	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.