LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (September 2010)Back to main SPSSX-L pageJoin or leave SPSSX-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Sat, 18 Sep 2010 17:45:49 -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: Parameter Sig. vs Effect Sig. & Interaction
In-Reply-To:  <201009180351.o8HHN6lw007021@willow.cc.uga.edu>
Content-Type: text/plain; charset=us-ascii

Simon - slmartys@gmail.com wrote: > > My analysis involves a Generalized Estimating Equation --- two binary IVs > predicting a binary DV. Each binary IV is dummy coded 0-1. > > When I run my analyses, the "test of model effects" Wald chi-square > statistic is exactly the same as the "parameter estimate" Wald chi-square > statistic for each predictor. However, when I add an INTERACTION term to > the model (i.e. I ask SPSS to add it in automatically), this is no longer > the case. (The Wald statistic for the interaction term matches, but the > statistics for the other parameter estimates don't match the test of model > effects.) > > To date, I'm not really clear on why adding the interaction makes this > happen. I would like to report parameter estimates (odds ratios), but the > significance levels of the parameter estimates change depending on which > group I select for the reference group! (Just to reiterate, this does not > happen when there is no interaction term.) > > Is there a way I can code my data so that this does not occur? > > If there's not, what is the appropriate thing to report? > > --- snip --- > >

Bear in mind that when the product term is included in the model, the parameters for the main effects are really giving you simple main effects . Suppose your variables are called A and B. When A*B is also in the model, the parameter for A gives you the effect of A when B is set to its reference level; and the parameter for B gives you the effect of B when A is set to its reference level. So if you change the reference levels, you'll see different parameter estimates. The parameter estimate for the A*B product is unaffected by what you choose as the reference categories.

HTH.

----- -- 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.

-- View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Parameter-Sig-vs-Effect-Sig-Interaction-tp2845146p2845219.html Sent from the SPSSX Discussion mailing list archive at Nabble.com.

===================== 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


Back to: Top of message | Previous page | Main SPSSX-L page