Hi peers,
I used AMOS to test the moderating effects of demographic variables (gender, age, marital status, education, and income). However, the results of multiple group analysis and interaction moderation are largely different. (n=302)
In particular, when using MGA for testing moderating effect, marital status significantly moderates the effect of the independent variable on the dependent variable,
Single Married
Estimate P Estimate P z-score
ITUT99
Hoang T.P.M. Le Engagement is more general than moderation. The function of the two variables involved in the interaction is distinguished by moderation. So, when we state X and Z interact in their impacts on an outcome variable Y, there is no actual differentiation between X's and Z's roles.
What level of measurement equivalence/invariance did you specify in your multigroup model? The interaction approach implies that strict measurement equivalence/invariance holds across groups (equal loadings, intercepts, and error variances). If you specified a different level of invariance in your multigroup model, that may explain the discrepancies.
Thank you for your explanation! I divided the moderators into high-low level groups based on the median split method. Is it the reason leading to the difference in results between MGA and interaction?
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