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MBH posted on Thursday, May 01, 2014 - 10:56 am
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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 |
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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. |
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MBH posted on Thursday, May 01, 2014 - 4:34 pm
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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 |
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Are the indicators for which there are no residual arrows categorical? |
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MBH posted on Thursday, May 01, 2014 - 5:29 pm
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Hi Linda, Some are categorical and some are continuous, which look like a ordered categorical scale |
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Please send the relevant files and your license number to support@statmodel.com. |
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Ahmad Adeel posted on Wednesday, March 04, 2015 - 2:11 am
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I am trying multilevel analysis everything is ok but I am not getting value of R-Square. I do not know what is the problem. please guide. analysis: type = twolevel random; model: %within% il on gen,edu,corgexp,cmwork,texp,lmx,cvoice,svoice,sfocus, jfocus,lmxxcv,lmxxsv,lmxxsf,lmxxjf; %between% il; output: stdyx ; |
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With Type=Random you don't get R-2. This is because Type=Random expects a random slope which makes the variance of the DV vary as a function of the IV. I don't see that your model needs Type=Random. |
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