I understand that it is not meaningful to consider the model fit of a just-identified model (say, a path model), because the df is zero. But I haven't read a lot of discussion about the coefficients of just-identified models. 1) Can the path coefficients of this just-identified model be trusted? 2) Is achieving over-identification the top priority, i.e.,if this just-identified 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 over-identified model?
1. Yes. 2. The left-out paths should be based on the theory you are testing.
K Wilkins posted on Sunday, January 27, 2013 - 9:44 pm
Hi Dr. Muthen,
I had a related question. I know that model fit indices such as chi-square are not calculated when analyzing a just-identified model. It seems AIC and BIC are calculated when I run my model, I was curious if I am able to report these?