Comparer des méthodes

	Analyse Factorielle Confirmatoire pour les Échelles	Analyse factorielle pour le développement d'échelles
Domaine	Psychométrie	Psychométrie
Famille	Process / pipeline	Process / pipeline
Année d'origine	1969	1947
Auteur d'origine	Karl G. Jöreskog	Louis Thurstone
Type	Confirmatory factor analysis methodology	Exploratory factor analysis methodology
Source fondatrice	Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183-202.	Thurstone, L. L. (1947). Multiple-Factor Analysis: A Development and Expansion of the Vectors of Mind (2nd ed.). Chicago: University of Chicago Press. ISBN: 9780226797557
Alias	CFA, Confirmatory factor analysis, Path analysis, Structural equation modeling	Exploratory factor analysis, EFA for scale development, Factorial structure analysis
Apparentées	4	5
Résumé	Confirmatory Factor Analysis (CFA) is a statistical method for testing whether a hypothesized factorial structure fits empirical data. Developed by Karl G. Jöreskog in 1969, CFA is the standard approach for validating psychometric scales by evaluating whether items load onto theoretically specified latent factors as expected. Unlike exploratory factor analysis, CFA requires a priori specification of the factor structure and provides goodness-of-fit indices to assess model adequacy.	Exploratory factor analysis (EFA) is a statistical method for discovering the underlying dimensional structure of a set of items or variables. Pioneered by Louis Thurstone in the mid-20th century, EFA is widely used to develop and validate psychometric scales by identifying groups of items that correlate together, thereby revealing latent dimensions of the construct being measured. The method reduces item sets to a smaller number of interpretable factors.