Comparer des méthodes

	Analyse de Profils Latents (LPA)	Analyse Factorielle Confirmatoire (AFC)
Domaine	Psychométrie	Statistique
Famille	Latent structure	Latent structure
Année d'origine	2010	1969
Auteur d'origine	Lazarsfeld & Henry; Collins & Lanza	Karl Jöreskog
Type	Person-centered finite mixture model	Confirmatory latent variable model
Source fondatrice	Collins, L. M., & Lanza, S. T. (2010). Latent Class and Latent Transition Analysis. Wiley. ISBN: 978-0-470-22839-7	Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363
Alias	Continuous Latent Class Analysis, Gaussian Profile Mixture Model, Person-Centered Cluster Analysis, Gizil Profil Analizi	Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model
Apparentées	2	4
Résumé	Latent Profile Analysis (LPA) is a person-centered finite mixture modeling technique that identifies unobserved subgroups — called profiles — within a population based on patterns of scores across multiple continuous indicators. Rooted in Lazarsfeld and Henry's latent structure tradition and formally synthesized for applied behavioral research by Collins and Lanza (2010), LPA assumes that observed heterogeneity in continuous data arises from a discrete number of latent classes, each characterized by a unique multivariate mean profile.	Confirmatory factor analysis tests whether a researcher-specified factor structure fits the observed data. Formalised by Karl Jöreskog in 1969, it is the measurement-model step within structural equation modelling and is the standard tool for validating the factorial structure of scales and questionnaires before comparing groups or estimating latent relationships.