WAM posted on Wednesday, November 23, 2011 - 6:47 am
Hello, I tested a reciprocal relationship between two variables (measured at 3 occasions). One of the reviewers insists that the cross-lag model must be tested using M+ by taking the multi-level structure of the data (occasions nested within students, which are nested within classrooms) in to account. Is there such a possibility? Thanks, Wond
Hi, I have a question similar to the one asked by the previous poster. I want to test an autoregressive latent trajectory model incorporating 2 variables measured on 3 occasions. However, the data has a nested structure (students within classrooms). The higher-order units aren't of substantial research interest. I know that multilevel latent growth models and multilevel cross-lagged models can be tested in Mplus, but I haven't seen anything, either in the Mplus documentation or elsewhere, regarding multilevel ALT models. Can this model be specified in Mplus? If so, would TYPE=TWOLEVEL or TYPE=COMPLEX option be more appropriate?
Hello, I am testing a reciprocal and time-lagged relationship between two variables (both variables are time-varying measured at 3 occasions). The data has a multilevel structure such that occasions for both variables are nested in person and person nested in teams. You mentioned to see Example 9.12 but I don't know how to apply that example to my model. It has only one time-varying variables.
The following is how I enterd the model.
VARIABLE: NAMES ARE v001-v246; USEVARIABLES ARE v001 v220 v221 v222 v244 v245 v246 ; Missing are all (999); Cluster is v001;
ANALYSIS: TYPE IS Twolevel Random; ALGORITHM=INTEGRATION;