bles effect on some outcome variable of interest depends on a third. Happy to hear from you, although I could not really help you with your problem. tion, or what Hayes and Preacher (in press) call conditional process modeling. How else can the equation know, that your covariate to Y belongs to Y and not to M? I still haven't figured it out. Below I use an SPSS macro developed Andrew Hayes (see Hayes & Rockwood, 2017) to test an indirect effect using the Yale social support data. The model estimates are then used to compute various causal mediation effects. From my view it should be important to put information somwhere, to which variable the covariates actually belong. If you specify covariate effects in theCOVARstatement, the procedure incorporates them when it ts the outcome and mediator models. Obviously you can put other variables in the "covariates" field, but I am not sure, if that is actually the only thing to do. Unfortunately I haven't found the answer there, yet, but hope, that I still will. In general I can recommend the book from Hayes himself "Introduction to Mediation, Moderation and Conditional Process Analysis", which is suprisingly easy to understand even for a rookie like me. sem (m <- x cv) (y <- m x cv), group (w) Endogenous. The interactions are implicit in the multiple group analysis itself. i have given the simple step followed in 'Contemporary Approaches to Assessing Mediation in Communication Research' by Kristopher J. Please note, there are no explicit interactions in the model. So I measure X at t1, M at t2 and Y at t3 and want to controll for M t1 aswell as for Yt2, because how else would I notice a change :-) The trick to using sem for moderated mediation with a categorical moderator is to do a multiple group analysis using the group option. Hey FemaleMadness, I can not help you, but have somehow the same problem: I want to make a mediation and for Y (the outcome) and M (the mediator) I have data from the datapoint before.
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |