Posted by
Ryan on
Jun 08, 2011; 12:46am
URL: http://spssx-discussion.165.s1.nabble.com/Interpretation-of-parameters-in-loglinear-models-tp4445521p4463512.html
Abigail,
This would be a good time for you to learn more about the mathematics
behind the regression model you've specified. Understanding the
equation will help you arrive at the answer. Take a look at this
message I posted a while back. This same *logic* can be applied to
your sitation:
http://www.listserv.uga.edu/cgi-bin/wa?A2=ind1008&L=spssx-l&P=R50116HTH,
Ryan
On Wed, Jun 1, 2011 at 11:08 AM, Abigail <
[hidden email]> wrote:
> Hello,
>
> I am trouble using the parameter estimates table to interpret the effects in
> my loglinear model-
>
http://spssx-discussion.1045642.n5.nabble.com/file/n4445521/paremeter.estimates.xls> paremeter.estimates.xls
>
> Previously I have done crosstabs to examine 2-way terms in my models but now
> I have one variable which is a continous covariate (forearm) so now I am
> looking at the parameter estimates to interpret the terms that include my
> covariate: posture*forearm and diam*no.of.sup*forearm.
>
> I know that SPSS takes the last category in the variable as a baseline and
> therefore does not provide parameter estimates for them. Within my variables
> there are no clear base-line categories, I really need to get values for all
> of the category combinations in order to fully interpret the terms in the
> model but I do not know how to work these out. For the 3-way relationship it
> is even more difficult because it only provides parameter estimates for 1 of
> the 4 combinations.
>
> Does anyone know how to work out the values that have been set to zero? Or
> is there a better way to interpret interaction terms that involve a
> covariate?
>
> Thanks,
>
> Abigail
>
> --
> View this message in context:
http://spssx-discussion.1045642.n5.nabble.com/Interpretation-of-parameters-in-loglinear-models-tp4445521p4445521.html> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
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