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 Alexander Nobel posted on Friday, May 27, 2011 - 12:09 am
Hello,

I have a question about the following:
I have a path model with 4 IV's, 3 Mediators and one DV. Two of the four IV's are not significantly related to any of the mediators or the DV. Do I understand it corectly, that if a take another identical model except now without these two IV's, that these two models are not nested, since I have a different number of observed variables in these two models? And thus, that I can use the AIC to compare the two models, but not the Chi-sq. difference?

Kind regards, Alex
 Linda K. Muthen posted on Friday, May 27, 2011 - 5:42 am
It is correct that a minimum requirement for two models to be nested is that they share the same set of observed variables.
 Alexander Nobel posted on Friday, May 27, 2011 - 7:46 am
OK, clear, thanks a lot!
I've read that the AIC can be used to compare model fit when models are not nested? Can I then use the AIC to compare my two models, or should you still have the same set+number of variables to make a comparison between non-nested models?
 Bengt O. Muthen posted on Friday, May 27, 2011 - 4:30 pm
You can use AIC to compare models that are not nested but they have to have the same DVs - otherwise the AICs are not on the same scales.
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