

Crosssectional categorical data 2 ti... 

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I apologise if this is a really stupid question, but I am finding it really difficult to work out which type of analysis to use. I have two large datasets from 1995 and 2015 that are crosssectional (from the same area, identical sampling methods, but not the same participants). I want to look at the change in categorical data across the two time periods  specifically the change in support network types controlling for age, marital status, education, length of residence etc. I have run a multinomial logistic regression using 'year of study' as an IV, but I don't think that this is correct. Is there a model I can use in Mplus that is more appropriate? 


I assume that "support network types" is a nominal DV so that multinomial logistic regression makes sense. Then a dummy covariate captures the 1995 vs 2015 year difference. The slope for that dummy  which varies across the nominal categories is what orchestrates the change in category probabilities, so I think you are on the right track. 

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