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MBH posted on Monday, March 31, 2014 - 5:12 pm
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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) Estimate 0.000 90 Percent C.I. 0.000 0.000 Probability RMSEA <= .05 0.000 CFI/TLI CFI 1.000 TLI 1.000 Chi-Square Test of Model Fit for the Baseline Model Value 15690.622 Degrees of Freedom 3 P-Value 0.0000 WRMR (Weighted Root Mean Square Residual) Value 0.006 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. |
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A factor with three indicators is just identified. Fit cannot be assessed. The model has no degrees of freedom. |
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MBH posted on Monday, March 31, 2014 - 6:13 pm
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Thanks for the quick reply. So this means that the factor cannot be included in further analysis for SEM? |
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You can include it. It will affect the fit of the total model. |
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MBH posted on Monday, March 31, 2014 - 6:42 pm
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Dear Bengt, That's what I thought. But in situations like this, it is arbitrary to either include it or not to include it? |
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It is your decision whether you want it in the model. |
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