Detecting Conditional Dependence Using Flexible Bayesian Latent Class Analysis

A fundamental assumption underlying latent class analysis (LCA) is that class indicators are conditionally independent of each other, given latent class membership. Bayesian LCA enables researchers to detect and accommodate violations of this assumption by estimating any number of correlations among...

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Detalles Bibliográficos
Autores principales: Lee, Jaehoon, Jung, Kwanghee, Park, Jungkyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438797/
https://www.ncbi.nlm.nih.gov/pubmed/32903609
http://dx.doi.org/10.3389/fpsyg.2020.01987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438797/
https://www.ncbi.nlm.nih.gov/pubmed/32903609
http://dx.doi.org/10.3389/fpsyg.2020.01987

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