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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...

Deskribapen osoa

Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Educ Psychol Meas
Egile Nagusiak: Raykov, Tenko, Marcoulides, George A., Li, Tenglong
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: SAGE Publications 2017
Gaiak:
Sarrera elektronikoa: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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