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Clio Berry posted on Tuesday, July 17, 2012  2:29 am



Another question: I have variables which are nonnormal so assume I should either transform them or use WLSMV estimation. Many of the variables have univariate outliers (based on z scores >3, should I do something about the outliers by either removing cases, transforming the scores or transforming the variables as well as using WLSMV? Or should I just use WLSMV and leave the scores as they are? Thank you, Clio. 


When you say nonnormal, do you mean continuous variables that are not normally distributed or categorical variables? 

Clio Berry posted on Wednesday, July 18, 2012  1:08 am



Apologies, I mean continuous variables that are not normally distritbuted, i.e. some are negatively skewed, some are positvely skewed and one is negatively skewed/approaching bimodal. 


You should treat the outliers in the regular way and use MLR. 

Clio Berry posted on Friday, July 20, 2012  8:10 am



Thank you. And what if I have one categorical (ordered) variable and other continuous nonnormal variables? Should I then use WLSMV? Should I still transform univariate outliers if using WLSMV? Thank you, Clio. 


MLR is better for nonnormal continuous variables. I would treat outliers the same with any estimator. 

Clio Berry posted on Friday, July 27, 2012  7:16 am



Thank you for your reply. 

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