I've looked through the User's Manual and this website but seem to be struggling on the appropriate syntax for the following model.
I want to test partner effects (i.e., husbands' predictor 1 and predictor 2 scores on wives' outcome variable) and vice-versa. However, I will also need a mutual influence model, as I am interested in the effects between husbands' and wives' outcome scores. I ran a version of this (incorrectly) in multilevel modeling using HLM, and the link between husbands' and wives' outcome really seems to be the key significant variable.
Could anyone point perhaps to an example that would enable me to include both the partner effects for two predictors and the mutual influence between husbands' and wives' Y's?
As a follow-up, I think I have my syntax mostly down, but I continue to get an error message that "horisk cannot be on the left-hand side of a BY command". Do you have any thoughts on how I may successfully run a partner effects and mutual influence model simultaneously?
My predictors are husband family-of-origin and wife family-of-origin distress alongside husband and wife depression history, to predict partner's scores on the risk variable as an outcome. However, I am also interested in whether one's own risk predicts risk in a partner (i.e., the relationship between husbands' and wives' risk scores ... or the mutual influence part).
TITLE: basic test
DATA: FILE = C:\Users\joetrombello\desktop\brief file for dom.sav;
You cannot use the name of an observed variable on the left-hand side of a BY statement. A BY statement defines a factor. The name on the left-hand side of the BY statement should be the name of the factor defined by the BY statement. You should use ON for regression or WITH for covariance.
Is there a way to attach an output file on here? I think I finally have all the syntax down correctly for a mutual influence and partner effects model, but my estimates and standard errors for the wives' portions seem wildly off.
Instead of the WIDE SEM-based approach to dyadic analyses outlined by Peugh, I am conducting a dyadic APIM analyses in the MLM setup. Looking to predict Y at T2....k from actor (autogressive) and partner (cross-influence) at time k-1.
Because I have the person-period-pairwise data set up (LONG), I am struggling with how to create the relevant time variables even using dummy codes for infant and parent (the individuals) because the two data vectors for actor and partner are stacked variables (thus, yield the same overall information). Is there an example of the APIM model within the MLM framework anyone could point me to?