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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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Détails bibliographiques
Publié dans:Educ Psychol Meas
Auteurs principaux: Raykov, Tenko, Marcoulides, George A., Li, Tenglong
Format: Artigo
Langue:Inglês
Publié: SAGE Publications 2017
Sujets:
Accès en ligne: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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