Hi again, Thank you very much for your responses. I'm still trying to find the most appropriate design for my research questions as well as adjusting to the time constraints. So I have a few more questions:
1. If I have 9 (8 of them being psychological constructs, 1 of them being past behaviour) variables measured at Time 1 and only 1 out of 9 (the past behaviour) measured again in Time 2, how can I analyse the estimated effect of 8 psychological variables on the Time 2 past behaviour outcome, controlling for the Time 1 measure? Does this fall under a full latent SEM or there is another way to model this due to the 2 time points?
2. Is it common to have several variables (by several, I mean 9 variables) in a 2 wave cross-lagged design? Does the number of variables create any issues when running the model in Mplus?
2. Only if they are indicators of a factor, otherwise the analysis is typically done one variable at a time - I think.
Nicole S posted on Sunday, February 03, 2019 - 11:50 pm
Iím working on a cross-lagged model with a binary variable (x1 & x2) and an observed continuous variable (y1 & y2) each measured at two separate time points using the default WLSMV. The output comes up with errors when including the ďx1 WITH y1Ē statement. When I exclude that statement it runs fine, and the diagrammer appears to account for that relationship but doesnít provide a point estimate for it. Iím sure itís really obvious but Iím just wondering why that is?