Message/Author 

Ting posted on Monday, July 16, 2012  8:58 am



Dear Dr. Muthen, I understand that it is not meaningful to consider the model fit of a justidentified model (say, a path model), because the df is zero. But I haven't read a lot of discussion about the coefficients of justidentified models. 1) Can the path coefficients of this justidentified model be trusted? 2) Is achieving overidentification the top priority, i.e.,if this justidentified path model is what I am interested in, should I sacrifice some parameters(e.g., constrain some path coefficients to be equal or set a nonsig. one to be zero), in order to obtain an overidentified model? Thanks! 


1. Yes. 2. The leftout paths should be based on the theory you are testing. 

K Wilkins posted on Sunday, January 27, 2013  3:44 pm



Hi Dr. Muthen, I had a related question. I know that model fit indices such as chisquare are not calculated when analyzing a justidentified model. It seems AIC and BIC are calculated when I run my model, I was curious if I am able to report these? Thanks!! 


AIC and BIC are not absolute fit statistics. They are used to compare models. I can't see that they would be useful to report for a single model. 


Dear Dr. Muthen, I am trying to test a measurement model. The model is justidentified and as such I do not get model fit statistics. Is there another way to still test the fit of this factorial model? Thank you. 


Perhaps you have one factor with only 3 indicators. Then there is no test of fit. If that's not the case, please send output to Support along with your license number. 

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