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newbie_ari
Fluorite | Level 6

In many of the sem examples, we have noticed that covariances are specified between latent variables.

My Questions are:

1) What's the advantage(s) of specifying covariance in sem model? 2) If there's high covariance within 2 variables, does it affect the direct effect? 3) If there's high covariance within 2 variables, does it affect the indirect effect?
4) Lastly, is there any literature specifically explaining the use of covariance in sem models.

Thanks!

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What is ANOVA?

ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.

Find more tutorials on the SAS Users YouTube channel.

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