Date: Fri, 5 Sep 2008 15:00:51 -0700
Reply-To: SR Millis <email@example.com>
Sender: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From: SR Millis <firstname.lastname@example.org>
Subject: Re: Logistic Regression - Threshold effect sizes?
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What is puzzling in the results?
Have you examined the degree of collinearity among the predictors/covariates?
Scott R Millis, PhD, MEd, ABPP (CN,CL,RP), CStat
Professor & Director of Research
Dept of Physical Medicine & Rehabilitation
Wayne State University School of Medicine
261 Mack Blvd
Detroit, MI 48201
--- On Fri, 9/5/08, Jon Bernard <email@example.com> wrote:
> From: Jon Bernard <firstname.lastname@example.org>
> Subject: Logistic Regression - Threshold effect sizes?
> To: SPSSX-L@LISTSERV.UGA.EDU
> Date: Friday, September 5, 2008, 5:42 PM
> Fellow SPSSers,
> I am struggling with a logistic regression issue and
> thought I'd put it out
> to the list for some clarity.
> The dependent variable of interest is a binary event (0 =
> Did not happen, 1
> = Did happen). The independent variables of interest are
> attitudinal survey items, with responses on a 5-point scale
> (1 = Strongly
> Disagree, 5 = Strongly Agree). I have been using logistic
> regression for
> the analysis, but either I'm missing something in the
> results output or I'm
> using the wrong statistical technique. I have an inkling
> that the intervals
> between categories of the independent variables are not all
> equal. In other
> words, I think that the impact on the dependent variable of
> an independent
> variable score of 3 vs. one of 2 is greater than that of a
> score of 5 vs.
> one of 4. Is that clear? If so, what would you recommend
> in order to test
> that hypothesis? Is there a class of techniques designed
> particularly for
> this kind of test?
> Very many thanks in advance for your assistance with this
> Kind regards,
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