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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...
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| Publicado en: | Front Psychol |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Frontiers Media S.A.
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7744381/ https://ncbi.nlm.nih.gov/pubmed/33343456 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fpsyg.2020.581709 |
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