If data is not multivariate normality,can I use cfa()?

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ss xx

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Jun 28, 2020, 5:16:48 PM6/28/20
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> MVN::mvn(df,mvnTest = 'hz',multivariatePlot = 'qq',univariateTest = 'CVM')
$multivariateNormality
           
Test    HZ p value MVN

1 Henze-Zirkler 5.042       0  NO


data `df` has 60 variables,8500 rows.As data is not multivariate normality, can I still use cfa()?



car...@web.de

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Jun 28, 2020, 5:32:54 PM6/28/20
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https://link.springer.com/article/10.1007/BF02296192

https://lavaan.ugent.be/tutorial/est.html




Am 28.06.20, 23:16 schrieb ss xx <mailtoy...@gmail.com>:
> MVN :: mvn ( df , mvnTest = 'hz' , multivariatePlot = 'qq' , univariateTest = 'CVM' )
$multivariateNormality
            Test    HZ p value MVN

1 Henze - Zirkler 5.042       0  NO



data `df` has 60 variables,8500 rows.As data is not multivariate normality, can I still use cfa()?



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Am 28.06.20, 23:16 schrieb ss xx <mailtoy...@gmail.com>:
> MVN :: mvn ( df , mvnTest = 'hz' , multivariatePlot = 'qq' , univariateTest = 'CVM' )
$multivariateNormality
           
Test    HZ p value MVN

1 Henze - Zirkler 5.042       0  NO


data `df` has 60 variables,8500 rows.As data is not multivariate normality, can I still use cfa()?



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