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On Modeling Missing Data of an Incomplete Design in the CFA Framework
The paper reports an investigation on whether valid results can be achieved in analyzing the structure of datasets although a large percentage of data is missing without replacement. Two types of confirmatory factor analysis (CFA) models were employed for this purpose: the missing data CFA model wit...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7744381/ https://www.ncbi.nlm.nih.gov/pubmed/33343456 http://dx.doi.org/10.3389/fpsyg.2020.581709 |