Message/Author 

anon9210 posted on Friday, September 17, 2010  12:43 pm



Is it a problem if CFI and TLI are greater than 1 in an EFA? Or if RMSEA is exactly 0? There don't seem to be any other issues with the EFA model  i.e., residual variances are all +ve, loadings look as expected, etc. Thanks in advance again! 


Please send your output and license number to support@statmodel.com. 


I have the same problem with my path models. CFI is exactly 1 and the TLI is greater than 1. What can I do about this? Thank you in advance! 


TLI can be greater than one. It sounds like your model is justidentified with zero degrees of freedom. In this case, model fit cannot be assessed. 


I don't think that is the problem. The chisquare 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. 


From what you say the pvalue for chisquare must be very large which like CFI and TLI points to a wellfitting model. 


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´m really thankful in advance  


Once you get a pvalue greater than .05 you should stop. So three factors would seems best. You should also use theory to support this decision. 


Thanks a million ;) Yeah, theory is supportive but I wanted to hint as statistic reason as well. So if this is enough I´m fine with it. thank you again 

RGL posted on Wednesday, June 13, 2012  2:28 pm



Hello, I am in a similar situation, after an EFA with binary variables: RMSEA = 0.000, CFI and TLI greater than 1.00. Chisquared 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! Thanks! 


Please send the output and your license number to support@statmodel.com. CFI cannot be greater than one. 

RGL posted on Wednesday, June 13, 2012  3:22 pm



Hello  sorry, my mistake, CFI = 1.00, TLI slightly larger than 1.00. I am using MPlus at a computer lab at the University of Michigan (where I am a fulltime student), not sure about obtaining the license number Thanks! 

Stephen Teo posted on Monday, February 04, 2013  5:03 pm



Hello My CFI = 1.000 TFI = 1.004 My Chisq = 1.939, df=3 and p = 0.5851 SRMR=0.009 Is there an issue with this model? thanks! 


You probably have low correlations and/or low sample size so not much power to reject TFI >1 should be rounded to 1. 

kja posted on Monday, May 06, 2013  6:15 pm



Hello Dr. Muthen, 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. Thank you. 

kja posted on Monday, May 06, 2013  6:19 pm



Hi Dr. Muthen, Sorry  please disregard the previous post, I figured out the issue. Thank you. 


Hi Dr Muthen, I'm analyzing a model with 4 variables in a sample of 93 subjects. The MPLUS output is the following ( see below) with CFI and TLI =1. What does it means? Is it a problem the sample size? Thanks in advance for your kind attention. Stefano Cacciamani ChiSquare Test of Model Fit Value 0.000 Degrees of Freedom 0 PValue 0.0000 RMSEA (Root Mean Square Error Of Approximation) Estimate 0.000 90 Percent C.I. 0.000 0.000 Probability RMSEA <= .05 0.000 CFI/TLI CFI 1.000 TLI 1.000 ChiSquare Test of Model Fit for the Baseline Model Value 25.458 Degrees of Freedom 9 PValue 0.0025 SRMR (Standardized Root Mean Square Residual) Value 0.000 


Dear dr. Muthen, just a correction about the previous post: the variables are 5 instead of 4. Thanks again Stefano Cacciamani 


See our FAQ: TFI fit index: Unusual values 

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