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Date:         Thu, 17 May 2012 10:49:50 -0700
Reply-To:     Bruce Weaver <bruce.weaver@hotmail.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Bruce Weaver <bruce.weaver@hotmail.com>
Subject:      Re: Multinomial Logistic Regression Interaction - graph the
              interaction odds ratios
In-Reply-To:  <4FB51966.8020401@uvm.edu>
Content-Type: text/plain; charset=us-ascii

Hello Susan. I assume you are using NOMREG. Have you taken a look at the /TEST sub-command? I think it might give you what you're after. Here is a very quick & dirty example I cobbled together. Although one can perform several contrasts with one /TEST sub-command (with semicolons separating the various contrasts), I found I could not include labels for the contrasts when I did that; hence the multiple /TEST sub-commands. You might want to direct the Contrast Results tables to a dataset via OMS to facilitate grabbing the values you want for plotting etc.

GET FILE='C:\SPSSdata\1991 U.S. General Social Survey.sav'.

NOMREG race (BASE=LAST ORDER=ASCENDING) WITH age educ /MODEL age educ age*educ /STEPWISE=PIN(.05) POUT(0.1) MINEFFECT(0) RULE(SINGLE) ENTRYMETHOD(LR) REMOVALMETHOD(LR) /INTERCEPT=INCLUDE /PRINT=PARAMETER SUMMARY LRT CPS STEP MFI.

graph histogram age. graph histogram educ.

* Look at 4 levels of Age (20, 40, 60, 80) and 2 levels of Educ (10, 15). * I.e., compare 10 and 15 years of education at each of the 4 ages.

NOMREG race (BASE=LAST ORDER=ASCENDING) WITH age educ /MODEL age educ age*educ /TEST "[1] Age=20, Educ=5" ALL 1 20 5 100 /TEST "[2] Age=20, Educ=10" ALL 1 20 10 200 /TEST "[3] Age=40, Educ=5" ALL 1 40 5 200 /TEST "[4] Age=40, Educ=10" ALL 1 40 10 400 /TEST "[5] Age=60, Educ=5" ALL 1 60 5 300 /TEST "[6] Age=60, Educ=10" ALL 1 60 10 600 /TEST "[7] Age=80, Educ=5" ALL 1 80 5 400 /TEST "[8] Age=80, Educ=10" ALL 1 80 10 800 /TEST "[2]-[1]" ALL 0 0 5 100 /TEST "[4]-[3]" ALL 0 0 5 200 /TEST "[6]-[5]" ALL 0 0 5 300 /TEST "[8]-[7]" ALL 0 0 5 400 /PRINT=PARAMETER SUMMARY LRT CPS STEP MFI .

HTH.

SueRichardson wrote > > Hello, > > I haven't been able to find a question/solution quite like the problem I > am having, so I'm creating a new thread. > I have a reviewer of a paper who is requesting that I graph a > significant interaction in my multinomial logistic regression > differently than I have been. > > To briefly describe the regression, I have three levels of my DV, two > continuous predictors (let's calls them A and B), and the interaction of > those predictors (A*B). > > In previous drafts, I've followed the Jaccard (2001) approach by > selecting points of interest for A and B, and used the regression > equation to calculate predicted log odds. Because predicted log odds > could be confusing, I converted these to predicted odds, and graphed > those. > > While the reviewer acknowledged this was correct, she/he would rather > see me graph the odds ratios instead of odds because of the possible > misinterpretation of the odds as odds ratios. > > Where I am stuck is that I understand the "odds ratio" of the > interaction to be the ratio of the odds ratios. So it's not really an > odds ratio, itself. > > But I think the spirit of the reviewers question is that they want to see > odds ratios, not odds. > > I've found guidance in this forum and elsewhere on the web about how to > approach the problem of graphing interactions by manually calculating > odds ratios when the variables are dichotomous to begin with, but not > when the variables are continuous to begin with. > > What would work best to describe my interaction in terms of my > hypotheses is to look at 4 levels of A (1,2,3,4) at 2 levels of B (+/- > 1SD). > > So my question is, how do I calculate the odds ratios for different > combinations of points of interest for my continuous variables? > > Can I use the odds ratios from the model I have and take the same > approach as is used for categorical predictor interactions? Do I need to > rerun the model dichotomizing the continuous predictors and their > interaction? Or is there some other step that I am missing? > > Thanks for any guidance! > > Susan > > -- > Susan E.V. Richardson > Postdoctoral Associate > Person Environment Zone Project Manager > 106 John Dewey Hall > Psychology Department > University of Vermont > Burlington, VT 05405 > 1-866-532-7183 > susan.richardson@ > pez@ >

----- -- Bruce Weaver bweaver@lakeheadu.ca http://sites.google.com/a/lakeheadu.ca/bweaver/

"When all else fails, RTFM."

NOTE: My Hotmail account is not monitored regularly. To send me an e-mail, please use the address shown above.

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