Σύγκριση μεθόδων

	Ανάλυση Λανθανουσών Κλάσεων (LCA)	Επαληθευτική Παραγοντική Ανάλυση (Confirmatory Factor Analysis - CFA)
Πεδίο	Στατιστική	Ψυχομετρία
Οικογένεια	Latent structure	Latent structure
Έτος προέλευσης	1950s–1968	1969
Δημιουργός	Paul F. Lazarsfeld	Karl Gustav Jöreskog
Τύπος	Latent variable / person-centered classification	Hypothesis-testing latent variable model
Θεμελιώδης πηγή	Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61(2), 215–231.	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202.
Εναλλακτικές ονομασίες	LCA, latent class model, latent categorical analysis, finite mixture of multinomials	CFA, confirmatory FA, measurement model, restricted factor analysis
Συναφείς	6	4
Σύνοψη	Latent class analysis identifies unobserved subgroups — latent classes — within a population by finding patterns of responses across a set of categorical observed indicators. It is the categorical-variable counterpart of cluster analysis, but grounded in an explicit probabilistic model, and is widely used in social, health, and behavioral sciences to discover typologies in survey or diagnostic data.	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.