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Dear all,

I am seeking to derive the ICCs of a cross-classified multilevel logit model. The data are 5,000,000 individuals nested in Level A (150 units) and Level B (40 units); it is an additive cross-classifed model.

Group sizes vary considerably, however, from 500 to 1,000,000 in the case of Level B, for example.

I am wondering to which extent this poses a problem and what could be done to mitigate it.

Many thanks in advance!

Hi Johannes,
I am not sure that the group size differences will make much difference here - I guess you just have more information about within group variability in some groups than others. Your smallest group is still pretty big compared to many situations.
Best wishes,
Bill.