Re: Comparing 2 regression models with same DV and different IVs

Posted by Bruce Weaver on Mar 16, 2011; 11:24am
URL: http://spssx-discussion.165.s1.nabble.com/Comparing-2-regression-models-with-same-DV-and-different-IVs-tp3759374p3776741.html

I was also thinking that one of Jim Steiger's programs might be useful for comparing R-squared values from the two linear regressions.  You can find them here:

   http://www.statpower.net/Software.html

The same question was posed in the SPSS newsgroup, where Ray Koopman suggested an article by Clarke (2007).

  http://groups.google.com/group/comp.soft-sys.stat.spss/browse_frm/thread/4604725282e27bc3#

HTH.

Matthias Spörrle wrote

Hi John,

for regression analysis you might want to use
- the corresponding commands implemented in MBESS (e.g., ci.R2) or
- the program R2 (Steiger & Fouladi, 1992)
in order to compute the CI of R-squared.

HTH
M


On Wed, Mar 16, 2011 at 6:21 AM, Johncrawford <[e-mail]> wrote:
> I would like to know how to obtain the statistical significance of the
> difference in R-squareds obtained from 2 regression equations, in the same
> sample, and with the same dependent variable, but with different sets of
> predictor variables. I would also like to know the answer to the similar
> question with logistic regression. That is, how to obtain the statistical
> significance of the differences in predictive ability for two models, with
> the same binary dependend variable, but with a different set of predictors.
> Help much appreciated.
>
>
>
>
> --
> View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Comparing-2-regression-models-with-same-DV-and-different-IVs-tp3759374p3759374.html
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