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Comparing effect of different predictors
Structural Equation Modeling
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;
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