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Confirmatory Factor Analysis
posted on Monday, March 31, 2014 - 5:12 pm
Dear Linda and Bengt,
I'm running a CFA prior to running SEM. I've constructed a CFA of 3 variables and here are the model fit information I'm getting:
RMSEA (Root Mean Square Error Of Approximation)
90 Percent C.I. 0.000 0.000
Probability RMSEA <= .05 0.000
Chi-Square Test of Model Fit for the Baseline Model
Degrees of Freedom 3
WRMR (Weighted Root Mean Square Residual)
Does the statistics above mean that the model is a perfect fit to be included subsequently in the SEM?
I've been reading that CFI should be below 1.00 and be between 0.90-1.00 and not be exactly 1.00.
Thanks for your help.
Linda K. Muthen
posted on Monday, March 31, 2014 - 5:53 pm
A factor with three indicators is just identified. Fit cannot be assessed. The model has no degrees of freedom.
posted on Monday, March 31, 2014 - 6:13 pm
Thanks for the quick reply.
So this means that the factor cannot be included in further analysis for SEM?
Bengt O. Muthen
posted on Monday, March 31, 2014 - 6:31 pm
You can include it. It will affect the fit of the total model.
posted on Monday, March 31, 2014 - 6:42 pm
That's what I thought. But in situations like this, it is arbitrary to either include it or not to include it?
Linda K. Muthen
posted on Tuesday, April 01, 2014 - 5:56 am
It is your decision whether you want it in the model.
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