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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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.