Latent Class Cluster Analysis: Selecting the number of clusters

Latent Class Cluster Analysis (LCCA) is an advanced model-based clustering method, which is increasingly used in social, psychological, and educational research. Selecting the number of clusters in LCCA is a challenging task involving inevitable subjectivity of analytical choices. Researchers often...

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Detalles Bibliográficos
Autores principales: Lezhnina, Olga, Kismihók, Gábor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Method Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192797/
https://www.ncbi.nlm.nih.gov/pubmed/35712641
http://dx.doi.org/10.1016/j.mex.2022.101747

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9192797/
https://www.ncbi.nlm.nih.gov/pubmed/35712641
http://dx.doi.org/10.1016/j.mex.2022.101747

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