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| Interpretation of Model Fit Statistics |
 
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Dear Drs. Muthen,
While every path in my model except one is significant, it does not meet standard fit criteria, (even after trimming the one insignificant path; i.e., X2 (14)= 187.46; CFI=.84; RMSEA=.169; SRMR=.128). Therefore, I was wondering:
-To what degree can I interpret a model that does not meet standard fit criteria (i.e., is it appropriate to interpret the significant individual paths even if the fit for the overall model is poor)?
-How can a model in which all the paths are significant still have a poor fit?
Thank you so much in advance! |
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Significance compares a parameter to zero. Model fit compares the observed and model estimated variance/covariance matrices.
A model with poor fit should not be interpreted. |
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| Alvin posted on Tuesday, June 03, 2014 - 10:15 pm
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| Hi Dr Muthen, I tested one-factor CFA of a subscale of a measure and I repeated this procedure for the other four sub-scales. I realize the n required for multigroup CFA (given the small sample and complex five-factor model) so decided to do it on each subscale. In addition, I tested CFA of each subscale for each group separately. I noticed however in one subscale that the chi-square was 0 with 0 df (with 9 parameters) .. there are 3 items on this subscale. Why? |
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| A factor with three indicators is just identified. Fit cannot be assessed. |
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