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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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| Publié dans: | Psychometrika |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer US
2020
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7385012/ https://ncbi.nlm.nih.gov/pubmed/32451743 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11336-020-09704-7 |
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