A Comparison of Penalized Maximum Likelihood Estimation and Markov Chain Monte Carlo Techniques for Estimating Confirmatory Factor Analysis Models With Small Sample Sizes

With small to modest sample sizes and complex models, maximum likelihood (ML) estimation of confirmatory factor analysis (CFA) models can show serious estimation problems such as non-convergence or parameter estimates outside the admissible parameter space. In this article, we distinguish different...

Descripción completa

Detalles Bibliográficos
Autores principales: Lüdtke, Oliver, Ulitzsch, Esther, Robitzsch, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118082/
https://www.ncbi.nlm.nih.gov/pubmed/33995176
http://dx.doi.org/10.3389/fpsyg.2021.615162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8118082/
https://www.ncbi.nlm.nih.gov/pubmed/33995176
http://dx.doi.org/10.3389/fpsyg.2021.615162

Ejemplares similares