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Examining Measure Correlations with Incomplete Data Sets

A two-stage procedure for estimation and testing of observed measure correlations in the presence of missing data is discussed. The approach uses maximum likelihood for estimation and the false discovery rate concept for correlation testing. The method can be utilized in initial exploration oriented...

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Hlavní autoři: Raykov, Tenko, Schneider, Brooke C., Marcoulides, George A., Lichtenberg, Peter A.
Médium: Artigo
Jazyk:Inglês
Vydáno: 2014
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC4145345/
https://ncbi.nlm.nih.gov/pubmed/25177148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/10705511.2014.882696
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