Σύγκριση μεθόδων

	Πολυεπίπεδη Διακριτική Εγκυρότητα	Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	2005	1969
Δημιουργός	Dyer, Hanges, & Hall; Chen, Sousa, & West	Karl Gustav Jöreskog
Τύπος	Validity evaluation within multilevel CFA	Hypothesis-testing latent variable model
Θεμελιώδης πηγή	Dyer, N. G., Hanges, P. J., & Hall, R. J. (2005). Applying multilevel confirmatory factor analysis techniques to the study of leadership. Leadership Quarterly, 16(1), 149–167.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Εναλλακτικές ονομασίες	multilevel DV, cross-level discriminant validity, hierarchical discriminant validity, ML-DV	CFA, confirmatory FA, measurement model, restricted factor analysis
Συναφείς	5	4
Σύνοψη	Multilevel discriminant validity evaluates whether theoretically distinct constructs are empirically separable when data are nested within higher-level units such as teams, schools, or organizations. It extends single-level discriminant validity checks into a multilevel confirmatory factor analysis framework, verifying that constructs are distinguishable both within and between levels simultaneously.	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.