Constraints for Correlated Uniqueness... PreviousNext
Mplus Discussion > Growth Modeling of Longitudinal Data >
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 Jonathon Little posted on Saturday, December 21, 2013 - 9:51 am
Hi there,

One factor model reflected by the same 6 categorical items measured over 3 time intervals, each 3 months apart. Data arrange in Long Format. E.g.,

T1_B BY v1 v2 v3 v4 v5 v6;
T2_B BY v7 v8 v9 v10 v11 v12;
T3_B BY v13 v14 v15 v16 v17 v18;

!Time One Uniquenesses WITH Time Two & Three Uniquenesses
v1 v2 v3 v4 v5 v6 WITH v7 v8 v9 v10 v11 v12;
v1 v2 v3 v4 v5 v6 WITH v13 v14 v15 v16 v17 v18;

!Time Two Uniquenesses WITH Time Three Uniquenesses
v7 v8 v9 v10 v11 v12 WITH v13 v14 v15 v16 v17 v18;

Hypothesis One: Correlated Uniquenesses become smaller over successively larger time intervals. That is, the size of the correlated uniqueness between Time 1 and Time 2 will be larger than those observed between Time 1 and Time 3 etc. Lets say that I expected the correlated uniquenesses to decrease in a quadratic fashion as one test; and then as a second test I expect them to halve in size each time. Note that I have more than 3 time waves.

Question 1. How might one impose such constraints?

Many thanks for you help..
 Jonathon Little posted on Saturday, December 21, 2013 - 10:13 am
Sorry in my earlier post, 'WITH' cited above, should read 'PWITH'
 Linda K. Muthen posted on Saturday, December 21, 2013 - 3:17 pm
I think you mean wide format.

See Example 6.17.
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