Jane Smith posted on Tuesday, March 04, 2014 - 7:30 am
I’m conducting an LTA with an interaction term following example 8.14 in version 7 of the user guide. In my model, the covariate (X) is measured at time 2, and thus C1 should not be regressed on X. Instead, I'd like to regress C2 on X. When I remove ‘C1 on X’ from the overall statement, I get an error message. I’ve reviewed example 8.13 in version 6 of the user guide and am able to remove ‘C1 on X’ without a problem. Is example 8.13 a more accurate parameterization to achieve an interaction effect with the covariate predicting C2 rather than C1?
hello! I am following Nylund-Gibson's framework for an interaction within an LTA. I have completed the three step process for LCA's at time 1 and time 2. However, I am only getting the effects for latent patterns 11, 12, 13, 14. How do I get moderation for each transition pattern? MODEL: %OVERALL% C2 ON C1; C1 ON BULLY_0 FEMALE DELQ_0; C2 ON FEMALE; MODEL C1: %C1#1% [CL4Bfirstname.lastname@example.org]; [CL4B#2@-3.599]; [CL4Bemail@example.com]; C2 ON BULLY_0 DELQ_0;