Dear List Members,

I am running a random intercept and random slope (2 cross-level
interactions) MLM using package lme4 (individuals nested in countries,
number of 2nd level units is 21). My DV (member of a trade union or not) is
dichotomous, and thus it is a logistic multilevel model. The model converges
and the results are significant. I would like to ask what solution can be
used, if I want to simulate the model results for a hypothetical individual.
More precisely, I am interested in comparing the probabilities of being a
trade union member across countries, using a hypothetical individual. For
this, I have the values for all the independent variables, but a simple
calculation based on the coefficients is not enough, since it does not
encompass the random effects in the calculation of the probabilities.

What is the solution to estimate these log odds, using the model
coefficients and still including tha random effects?

Thank you,
-- 
Zoltan Fazekas
MA Political Science Department
CEU, Budapest

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