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Bayesian Estimation for Item Factor Analysis Models with Sparse Categorical Indicators
Psychometric models for item level data are broadly useful in psychology. A recurring issue for estimating IFA models is low item endorsement (item sparseness), due to limited sample sizes or extreme items such as rare symptoms or behaviors. In this paper, I demonstrate that under conditions charact...
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| Publicado no: | Multivariate Behav Res |
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| Autor principal: | |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6062000/ https://ncbi.nlm.nih.gov/pubmed/28715231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/00273171.2017.1342203 |
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