Hi everyone,
We are working on a project to model 3 separate cross-sectional surveys (i.e., 3 independent samples). Each survey has the following hierarchical data structure:
L3 - states (~20)
L2 -villages (~X)
L1 - Individuals (~55,000 total)
We are interested in estimating the association between a contextual variable measured at the state-level (normally distributed) and an outcome measured at the individual-level (dichotomous) in the pooled data set. Is there any guidance on the advisable number of contextual variables that could be accommodated in the logistic MLM model?
Thanks a lot for the help in advance.
Regards,
Jithin Sam Varghese
Emory University
________________________________
This e-mail message (including any attachments) is for t...{{dropped:14}}