hello
can anyone help me, please?
for my thesis, I need to answer this question
when we had to use P indices in AMOS output? "P indices like PNFI, PCFI, PGFI" instead of GFI, etc.
Hello Mohammad,
can you provide a bit more context? Why do you have to answer this?
In the meantime: I never saw a paper that uses them and I personally would never use them. They intend to reward parsimony but at the end of the day, all what counts is the real test of the model implications. What does a parsimony yet misspecified model bring you. In my point of few, these are problematic transfers of statistical / descriptive modeling ideas ("keep models simple and number of parameters small").
And yes, fitting non-parsimonious models provide the illusion of an informative model but that cannot be turned around that parsimony is an goal in itself and can outbalance model fit.
Best,
Holger
You may use P value inAMOS hypothesis testing and identify path cofficent and item significant.
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