```Date: Fri, 5 Sep 2008 15:00:51 -0700 Reply-To: SR Millis Sender: "SPSSX(r) Discussion" From: SR Millis Subject: Re: Logistic Regression - Threshold effect sizes? Comments: To: Jon Bernard In-Reply-To: Content-Type: text/plain; charset=us-ascii Jon, 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 Email: smillis@med.wayne.edu Tel: 313-993-8085 Fax: 313-966-7682 --- On Fri, 9/5/08, Jon Bernard wrote: > From: Jon Bernard > 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 > ordinal > 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 > matter. > > Kind regards, > > Jon > > ===================== > To manage your subscription to SPSSX-L, send a message to > LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body > text except the > command. To leave the list, send the command > SIGNOFF SPSSX-L > For a list of commands to manage subscriptions, send the > command > INFO REFCARD ===================== To manage your subscription to SPSSX-L, send a message to LISTSERV@LISTSERV.UGA.EDU (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD ```

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