

Mulitple Group Categorical Fit Statis... 

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Hi, 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 chisquare pvalue 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? Variable: 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; Define: if page==3 then older=1; if page==2 then older=0; if page==1 then older=0; wholeemo=wholeemo/2; Model: Emotion by Negative WholeEmo Romantic; Partner by HusBf Knew older; Emotion on Partner Age; Age on Partner; Output: Sampstat Standardized Residual modindices; 


Your model must have no degrees of freedom. In this case, model fit is not relevant. 


Hi Linda, I don’t believe the model is just identified. According to the output I have it says I have 23 free parameters and my Chisquare has 6 degrees of freedom. The first model I ran (ignored groups) and the fit statistics seemed fine: Chisquare (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 don’t have this problem. Thanks. 


I have not seen this unless the model is justidentified. Please send the output and your license number to support@statmodel.com. 

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