Hi -
I wonder if anyone knows how the residuals in MLWin for a multi-level
model of proportions relate to the fixed effects analysis?
More specifically -
I have proportions arising from individual data which I have grouped
into a two-way table of proportions. One dimension of the table is the
'clustering' or random effects factor, the other dimension is a (fixed)
attribute of the individuals.
The MLWin analysis gives me more or less what I expected from a
previous fixed effects GLM analysis, except that the CIs associated with
the residuals for the clustering factor from the MLWin output seem much
narrower than I would have expected from the effect sizes for the same
factor in the fixed effects analysis and the estimated variance
component.
If the answer is RTFM - which pages?
Thanks
-John
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