A Solution to Modeling Multilevel Confirmatory Factor Analysis with Data Obtained from Complex Survey Sampling to Avoid Conflated Parameter Estimates

The issue of equality in the between-and within-level structures in Multilevel Confirmatory Factor Analysis (MCFA) models has been influential for obtaining unbiased parameter estimates and statistical inferences. A commonly seen condition is the inequality of factor loadings under equal level-varyi...

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Detalles Bibliográficos
Autores principales: Wu, Jiun-Yu, Lin, John J. H., Nian, Mei-Wen, Hsiao, Yi-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614970/
https://www.ncbi.nlm.nih.gov/pubmed/29018369
http://dx.doi.org/10.3389/fpsyg.2017.01464

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5614970/
https://www.ncbi.nlm.nih.gov/pubmed/29018369
http://dx.doi.org/10.3389/fpsyg.2017.01464

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