Σύγκριση μεθόδων

	Αξιοπιστία Επανεξέτασης σε Πολλαπλές Ομάδες	Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1979–2000	1969
Δημιουργός	Systematic multi-group extensions developed alongside measurement invariance frameworks (Vandenberg & Lance, 2000); intraclass correlation foundation in Shrout & Fleiss (1979)	Karl Gustav Jöreskog
Τύπος	Reliability estimation across groups	Hypothesis-testing latent variable model
Θεμελιώδης πηγή	Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Εναλλακτικές ονομασίες	multi-group temporal stability, cross-group test-retest reliability, group-comparative retest reliability, multi-sample temporal consistency	CFA, confirmatory FA, measurement model, restricted factor analysis
Συναφείς	5	4
Σύνοψη	Multi-group test-retest reliability evaluates whether a measure produces stable scores across time separately for two or more defined groups — such as different genders, age cohorts, or clinical populations — and determines whether the degree of that temporal stability is equivalent across those groups.	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.