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
Universit�t Z�rich
Soziologisches Institut
Andreasstr. 15
CH-8050 Z�rich
Tel. +41(0)44 6352347
www.suz.uzh.ch/ages
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