I don't think that is the problem. The chi-square test of model fit indicates a value of 31.339 with 33 degrees of freedom and the number of free parameters is 64. But does these high values of CFI/TLI indicate that there are problems with my model? I don't get any errors and the findings are highly in line with the theoretical expectations.
Hello ;) I would desperately need your help and appreciate any of your suggestions ;) So... I used EFA (after running CFA to confirm 2factors structure of my guestionnaire – that was rejected) for my data (N = 213, items 11) and I got: 3 factors: df = 25; x2 = 19.890; p = .7525; CFI = 1.000; TLI = 1.022; RMSEA = .000 4 factors: df = 17; x2 = 9.730; p = .9145; CFI = 1.000; TLI = 1.046; RMSEA = .000
3 factors model seems to be more appropriate to me but... I have no clue how to report this (if I reject the model with 4 factors). Both models should be acceptable according to statistics or??? I´ve already read, that´s no problem if TLI is higher than 1.
I am in a similar situation, after an EFA with binary variables: RMSEA = 0.000, CFI and TLI greater than 1.00. Chi-squared stats are good, and the fit works theoretically. From this thread, it sounds like this is fine, but I'd love a reference if you have one!
Is it concerning to have a CFI=1.00 and RMSEA=0.00? (I am using MLR). It does not appear that there are any issues with model identification. I ran the same model in EQS, and while the standardized path betas and factor loadings were nearly equivalent, the CFI=0.991 and RMSEA=0.023.