Σύγκριση μεθόδων

	Αξιοπιστία Επανάληψης-Ελέγχου (Test-Retest) Πολυεπίπεδων Δεδομένων	Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)
Πεδίο	Ψυχομετρία	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1979 (ICC foundation); multilevel extension: 1990s–2000s	1969
Δημιουργός	Shrout & Fleiss (ICC foundation); multilevel extension by Goldstein, Snijders, and others	Karl Gustav Jöreskog
Τύπος	Reliability estimation under hierarchical data	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	hierarchical test-retest reliability, multilevel ICC reliability, nested test-retest reliability, ML-TRT reliability	CFA, confirmatory FA, measurement model, restricted factor analysis
Συναφείς	5	4
Σύνοψη	Multilevel test-retest reliability estimates how consistently a measurement instrument produces the same scores across repeated administrations when observations are nested within higher-level units — such as patients within clinics or students within classrooms. It partitions total score variance across levels using intraclass correlation coefficients derived from multilevel models.	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.