[R-sig-ME] parameterization for partly nested design with repeated measurements
Kay Cecil Cichini
Kay.Cichini at uibk.ac.at
Fri Nov 12 12:09:15 CET 2010
i'd very much appreciate help with setting up the right parameterization
for the following design:
4 regions, in each region 3 to 12 schools, at each school 2-4 classes
and each class tested before and after intervention, yielding a bimomial
outcome (pupils that passed / not passed a test).
i'm interested in differences between before and after (factor =
"interv") intervention outcomes (X = passed, n = passed + not passed)
and in the interaction region * interv.
i tried with:
glmer (cbind(X, n - X) ~ region * interv + (region | school / class),
family = binomial)
glmer (cbind(X, n - X) ~ region * interv + (1 | school / class), family
i'd be happy about comments on the parameterization or any ideas.
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