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Diferentsiaalanalyys×Kinnitav faktorianalüüs (CFA)×
ValdkondStatistikaPsühhomeetria
PerekondLatent structureLatent structure
Tekkeaasta19361969
LoojaRonald A. FisherKarl Gustav Jöreskog
TüüpSupervised classification and dimension reductionHypothesis-testing latent variable model
AlgallikasFisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188. DOI ↗Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗
RööpnimetusedLDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysisCFA, confirmatory FA, measurement model, restricted factor analysis
Seotud44
KokkuvõteDiscriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.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.
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ScholarGateVõrdle meetodeid: Discriminant Analysis · Confirmatory factor analysis. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare