A Note on Exploratory Item Factor Analysis by Singular Value Decomposition

We revisit a singular value decomposition (SVD) algorithm given in Chen et al. (Psychometrika 84:124–146, 2019b) for exploratory item factor analysis (IFA). This algorithm estimates a multidimensional IFA model by SVD and was used to obtain a starting point for joint maximum likelihood estimation in...

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Detalles Bibliográficos
Autores principales: Zhang, Haoran, Chen, Yunxiao, Li, Xiaoou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Theory and Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385012/
https://www.ncbi.nlm.nih.gov/pubmed/32451743
http://dx.doi.org/10.1007/s11336-020-09704-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7385012/
https://www.ncbi.nlm.nih.gov/pubmed/32451743
http://dx.doi.org/10.1007/s11336-020-09704-7

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