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On the Unlikely Case of an Error-Free Principal Component From a Set of Fallible Measures
This note extends the results in the 2016 article by Raykov, Marcoulides, and Li to the case of correlated errors in a set of observed measures subjected to principal component analysis. It is shown that when at least two measures are fallible, the probability is zero for any principal component—and...
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| Publicado en: | Educ Psychol Meas |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
SAGE Publications
2017
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6096470/ https://ncbi.nlm.nih.gov/pubmed/30147123 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0013164416686147 |
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