Mulitple Group Categorical Fit Statis... PreviousNext
Mplus Discussion > Structural Equation Modeling >
 Kristin Ojala posted on Wednesday, March 11, 2009 - 9:37 pm

I'm running a multiple group SEM model with two latent variables and one observed variable. The latent factors have binary outcomes. When I fit the model, the chi-square p-value is zero and the CFI=1.00, TLI= 1.03 and RMSEA=0.000. I'm not sure how to interpret this. Should I be concerned that they are so high?

Names = DWanted Age Negative WholeEmo Romantic HusBf Knew PAge;
Usevar = Age Negative WholeEmo Romantic HusBf Knew older;
Missing = all(9999);
Categorical = Romantic HusBf Knew older;

if page==3 then older=1;
if page==2 then older=0;
if page==1 then older=0;

Model: Emotion by Negative WholeEmo Romantic;
Partner by HusBf Knew older;
Emotion on Partner Age;
Age on Partner;

Output: Sampstat Standardized Residual modindices;
 Linda K. Muthen posted on Wednesday, March 11, 2009 - 10:17 pm
Your model must have no degrees of freedom. In this case, model fit is not relevant.
 Kristin Ojala posted on Saturday, March 28, 2009 - 12:12 am
Hi Linda,

I donít believe the model is just identified. According to the output I have it says I have 23 free parameters and my Chi-square has 6 degrees of freedom. The first model I ran (ignored groups) and the fit statistics seemed fine: Chi-square (3) = 8.557, CFI = .914, RMSEA = .1. I then fit the same model to each group and two of the groups separately and reported fit statistics of CFI = 1 and RMSEA = 0, whereas the third group fit statistics indicated poor fit (e.g., not CFI=1).

Would there be something that commonly causes the CFI to equal 1 and the RMSEA to equal 0 when factor indicators are categorical? When I run any of the models without a categorical statement, I donít have this problem.

 Linda K. Muthen posted on Saturday, March 28, 2009 - 3:13 pm
I have not seen this unless the model is just-identified. Please send the output and your license number to
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