Accelerating L(1)-penalized expectation maximization algorithm for latent variable selection in multidimensional two-parameter logistic models

One of the main concerns in multidimensional item response theory (MIRT) is to detect the relationship between observed items and latent traits, which is typically addressed by the exploratory analysis and factor rotation techniques. Recently, an EM-based L(1)-penalized log-likelihood method (EML1)...

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Detalles Bibliográficos
Autores principales: Shang, Laixu, Xu, Ping-Feng, Shan, Na, Tang, Man-Lai, Ho, George To-Sum
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844851/
https://www.ncbi.nlm.nih.gov/pubmed/36649269
http://dx.doi.org/10.1371/journal.pone.0279918

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844851/
https://www.ncbi.nlm.nih.gov/pubmed/36649269
http://dx.doi.org/10.1371/journal.pone.0279918

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