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st: r-square 4-level-logit-regression xtmelogit


From   Martina Brandt <brandt@soziologie.uzh.ch>
To   statalist@hsphsun2.harvard.edu
Subject   st: r-square 4-level-logit-regression xtmelogit
Date   Mon, 15 Oct 2007 15:21:45 +0200

dear list,

mc kelvey and zavoina suggest an r2 for multilevel logit regression, 
which is the variance of the predicted probabilities divided by the 
total variance of the model (=proportion of explained variance). in the 
four level model this would be 
(var(phat))/((var(phat)+((pi2)/3))+var(level2)+var(level3)+var(level4))
(see snijders & bosker 1999: 225).
using gllamm i always had pseudo r2 around 0.20, and now using xtmelogit 
it is supposed to be only around 0.01. does anyone have an idea, why 
this could have happened and how these differences could be explained?

thanks! martina
_________________________
Martina Brandt
Universität Zürich
Soziologisches Institut
Andreasstr. 15
CH-8050 Zürich
Tel. +41(0)44 6352347

www.suz.uzh.ch/ages


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