Posted by
statisticsdoc on
Jan 02, 2012; 12:59pm
URL: http://spssx-discussion.165.s1.nabble.com/Multinomial-logistic-regression-r2-for-two-different-sets-of-variables-tp5114543p5114669.html
Reiden,
Unfortunately, logistic regression procedures only provide a pseudo
r-squared that should not be compared across models. The pseudo r-squared
cannot be interpreted in the same way that an OLS r-squared is interpreted.
Best Regards,
Stephen Brand
www.StatisticsDoc.com
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of
Rieden246
Sent: Monday, January 02, 2012 6:49 AM
To:
[hidden email]
Subject: Multinomial logistic regression: r2 for two different sets of
variables
Hi
I'm running a multinomial logistic regression and I'd like to find out which
set of variable contributes more to the total R2 (i.e.: variables that were
assessed before entering school (1th set) and variables that were assessed
after a few months in school (2nd set)).
I can only think of running two seperat regression models and compare the
two R2, but I'm sure there must be a more elegant way of doing this. I would
appreciate your help a lot.
Thank you in advance and kind regards
Rieden
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