**Date:** Wed, 9 Jul 2003 08:54:39 -0400
**Reply-To:** Mark Davenport <madavenp@OFFICE.UNCG.EDU>
**Sender:** "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
**From:** Mark Davenport <madavenp@OFFICE.UNCG.EDU>
**Subject:** Re: Mitchell Meeusen's logistic question
**Content-Type:** text/plain; charset=US-ASCII
Logistic regression would appear to be the logical choice--assuming that
you are trying to determine the probability of someone being in the No
(or Yes) category given particular values on a set of predictors. There
is no reason why you can't use multiple predictors.

Go to Analyze--Regresion--Binary Logistic

Enter your IVs as covariates. My understanding is that Base SPSS has
the Logisitc procedure so you should not have any problems. I would
strongly suggest you look at a good book on logistic regression before
you start. Interpreting logistic regression results can be tricky. Try
Hosmer and Lemeshow's Applied Logistic Regression.

Mark

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Mark A. Davenport Ph.D.
Asst to the Vice Chancellor for Student Affairs/Research and
Evaluation
The University of North Carolina at Greensboro
149 Mossman Bldg.
Greensboro, NC 27402-6170
336.334.5099
madavenp@office.uncg.edu

'An approximate answer to the right problem is worth a good deal more
than an exact
answer to an approximate problem' -- J. W. Tukey

>>> "Meeusen, Mitchell" <Mitchell.Meeusen@MERCER.COM> 7/8/2003 4:45:21
PM >>>
I've installed the base system. Here's the question I'm trying to
answer.
> I'm trying to run a regression, with five or six predictors on a
single
> response variable. The response variable is a flag variable, 1 for
yes, 0
> for no. It is believed that logistic regression is the best way to
do
> this. Is this correct?
> Now, given that I'm trying to run a logistic regression, I have
multiple
> independent variables, but there's only space for one of them. Is
there a
> way to run a logistic regression on a flagged dependent variable
with
> multiple independent variables?
__

**********************************************
This e-mail and any attachments may be confidential or legally
privileged.
If you received this message in error or are not the intended
recipient, you
should destroy the e-mail message and any attachments or copies, and
you are
prohibited from retaining, distributing disclosing or using any
information
contained herein. Please inform us of the erroneous delivery by
return
e-mail. Thank you for your cooperation.
**********************************************

ec03/04