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LL difference testing between two models
Growth Modeling of Longitudinal Data
posted on Tuesday, November 21, 2006 - 1:55 pm
The "Difference Testing Using the Loglikelihood" strategy applies for testing a more restricted model vs. a more freed model.
However, what if I want to test two models that have the same variables, same parameters, but different restrictions. Because p0-p1 = 0, I cannot use the difference testing formula.
For example, I have an i & s, and two covariates x1 & x2.
The models that I wish to compare are:
(1) i ON x1
s On x1
(2) i on
How would I determine which is a better fit?
Bengt O. Muthen
posted on Tuesday, November 21, 2006 - 2:09 pm
You can compare the loglikelihoods - I know of no test. You can also use Model test and impose the restrictions in (1) and in (2) and compare those p values.
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