Estimation of saturated model for LRT PreviousNext Mplus
Discussion > Growth Modeling of Longitudinal Data >
 Anonymous posted on Wednesday, June 29, 2005 - 5:17 pm Hello --
I am fitting a standard growth curve model to 10 repeated
measures organized on chronological age, not wave of assessment.
Given this design, I have no observed covariances between a
number of pairs of ages (e.g., age 5 and age 15, age 6 and age
16, etc).  In Mplus 3 I get a saturated model & an omnibus chi-
square. In Amos 4, Amos 5, and LISREL 8.72, the saturated model
can not be estimated, and I get a larger model df in Amos than
in Mplus. The difference in df is precisely equal to the number
of covariance elements with no paired observations.  Could I
please ask if you could briefly describe how the saturated model
is being estimated in Mplus 3? Am I being charged a df for each
cell with no observed coverage?  Thank you very much for your
time.  bmuthen posted on Saturday, July 02, 2005 - 6:11 pm If I
recall this correctly, the saturat