R-SQUARE PreviousNext
Mplus Discussion > Structural Equation Modeling >
Message/Author
 MBH posted on Thursday, May 01, 2014 - 10:56 am
Dear Linda,

There is something which puzzles me regarding R-SQUARE for SEM estimated by weighted least square.

In the output under R-SQUARE, Mplus is only producing residua variance for some variables but not all. Is that normal or does this mean three is a problem with the data? For example:

R-SQUARE
Observed Variable - Estimate - Residual Variance

Var1 - 0.080
Var2 - 0.677 - 0.168
Var3 - 0.235 - 0.154
Var4 - 0.869 - 0.342
Var5 - 0.158 - 0.674
Var6 - 0.124 - 0.629
Var7 - 0.550
Var8 - 0.030
Var9 - 0.480 - 0.689


Thank you
 Linda K. Muthen posted on Thursday, May 01, 2014 - 11:49 am
The residual variances for the continuous variables are part of the regular results. Residual variances are not model parameters for categorical variables. The residual variances shown with R-square are computed after model estimation as remainders.
 MBH posted on Thursday, May 01, 2014 - 4:34 pm
Thanks Linda,

Another question, if a CFA model has some residual errors missing from the diagram, can that be problematic even though Mplus identifies the model?

Say a CFA is measured by 10 variables and the diagram only shows residual arrows for 6 and not for the remaining 4, is that something to be concerned about?

Thanks
 Linda K. Muthen posted on Thursday, May 01, 2014 - 5:24 pm
Are the indicators for which there are no residual arrows categorical?
 MBH posted on Thursday, May 01, 2014 - 5:29 pm
Hi Linda,

Some are categorical and some are continuous, which look like a ordered categorical scale
 Linda K. Muthen posted on Thursday, May 01, 2014 - 8:08 pm
Please send the relevant files and your license number to support@statmodel.com.
Back to top
Add Your Message Here
Post:
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Password:
Options: Enable HTML code in message
Automatically activate URLs in message
Action: