Message/Author 

MBH posted on Thursday, May 01, 2014  10:56 am



Dear Linda, There is something which puzzles me regarding RSQUARE for SEM estimated by weighted least square. In the output under RSQUARE, 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: RSQUARE 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 


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 Rsquare 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 


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 


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