My 3 groups have unequal sample size. These 3 groups are made through cluster analysis, on the basis of 4 items included in my first variable of the study. How to to use these 3 clusters formed as categorical variable for multigroup analysis.
One more query: Should I do CFA for all 3 groups separately after making the clusters, or just 1 CFA before cluster formation.
Please tell whether I can use AMOS, instead of Smart pls.
Hello Karan,
you use the three groups as in any other kind of multigroup scenario. I don't know how this is dealt with in AMOS but you can easily find that out :)
With regard to the CFA, the essential question whether a respective set of items follow a common factor structure. Remember, the common factor model claims that all indicators are exchangeable reflections of the same underlying entity. In contrast you may have sets of items that comprise an index or aggregates. Hence think about first or misfit is guaranteed.
If the factor structure is plausible, you should incorporate the CFA as part of the multigroup approach which allows to test for measurement invariance (most notably metric invariance, that this equality of the loadings)
Best,
Holger
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