I want to analyze whether X has an effect on SES health inequalities. X is not a variable - is a complex concept and at least a few aspects require evaluation. Therefore concept X has been divided into 4 components, and those components have further been divided into indicators. 2 of those indicators can be found in DHS and similar type national surveys. So my components of X 1 and 2 have household-level proxies that are binary variables (Yes=1, No=0). My components 3 and 4 have country-level measures and they are continuous variables (number per 10 000 population). Now my dependant variables (to be tested in separate analyses) are educational health inequalities and wealth-related health inequalities that are tested as concentration index.

Can I perform spatiotemporal multilevel analysis with different scales of variables? If not, what are the best solutions here?

Similar questions and discussions