I gather that whatever program you're using to run the multilevel model
specifies explicitly what coefficiet is varying in which way. You can
approximate this pretty closely by using the right combination of
covariates in regression or Amelia. e.g., if E(Y)=a+b*X, and you want b
to vary by T[ime], you can say b=c+dT, and substitute this eqn into the
first, giving E(Y)=a+(c+dT)X = a + cX +d(T*X), so if you just put into
Amelia X and T*X, you'd be set. You can extend this pretty far of course.
Gary
On Thu, 15 Mar 2007, Levi Littvay (UNL) wrote:
Hello all. I tried this before with no luck. Maybe
now...
If I have a multilevel model and I let many of my level 1 coefficients vary
across my groups (not just time, other predictors as well), how appropriate
is it to use Amelia to impute level 1 missing.
As far as I can tell in Amelia I can only let the intercept and the slopes of
time vary across my groups. If I want to let other slopes vary in the
analysis, don't I need an imputation technique that does the same.
Any guidance is appreciated.
Thanks
L
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