Comparing effect of different predictors PreviousNext
Mplus Discussion > Structural Equation Modeling >
 Clio Berry posted on Thursday, July 26, 2012 - 1:42 pm
I have 3 latent variables; rel, belong, act.
I also have 4 predictor variables; occ_hope, soc_hope, das_dp and das_na.

The occ_hope and soc_hope are hope scores. The das_dp and das_na variables are measures of two kinds of self-beliefs.

I want to know whether the hope variables are more important than the self-belief variables in predicting my latent variables.

How do I do this? Sorry if this is a stupid question. Is it just a case of looking at the values of the standardised path coefficients and seeing which are bigger in magnitude?

This is my model:

Act by sim_sc sim_ci lei_m f2f spo_resp;
Belong by sim_p sim_b occ_hrs;
Rel by srs_no srs_rec;
sim_ci with sim_sc;

rel belong act on occ_hope soc_hope das_dp das_na;
Back to top
Add Your Message Here
Username: Posting Information:
This is a private posting area. Only registered users and moderators may post messages here.
Options: Enable HTML code in message
Automatically activate URLs in message