Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Análisis Factorial Confirmatorio (AFC)× | Análisis de clases latentes (LCA)× | |
|---|---|---|
| Campo | Estadística | Estadística |
| Familia | Latent structure | Latent structure |
| Año de origen≠ | 1969 | 1950s–1968 |
| Autor original≠ | Karl Jöreskog | Paul F. Lazarsfeld |
| Tipo≠ | Confirmatory latent variable model | Latent variable / person-centered classification |
| Fuente seminal≠ | Brown, T. A. (2015). Confirmatory Factor Analysis for Applied Research (2nd ed.). The Guilford Press. ISBN: 978-1462515363 | Goodman, L. A. (1974). Exploratory latent structure analysis using both identifiable and unidentifiable models. Biometrika, 61(2), 215–231. DOI ↗ |
| Alias≠ | Doğrulayıcı Faktör Analizi (CFA), confirmatory factor analysis, measurement model | LCA, latent class model, latent categorical analysis, finite mixture of multinomials |
| Relacionados≠ | 4 | 6 |
| Resumen≠ | 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. | 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. |
| ScholarGateConjunto de datos ↗ |
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