Date: Wed, 30 Jul 1997 04:36:16 -0400
Reply-To: Staffan Lindberg <slind@MHK.KS.SE>
Sender: "SPSSX(r) Discussion" <SPSSX-L@UGA.CC.UGA.EDU>
From: Staffan Lindberg <slind@MHK.KS.SE>
Subject: Ex post facto comparisons between x-tab of nominal variables
Content-Type: text/plain; charset="us-ascii"
Could anyone help me with suggestions of an analysis method for the
I have 4 groups (1,2,3,4 in the variable GROUP). I want to crosstabulate
this with a lot of other nominal variables (with number of values between 2
to 5). For the crosstabulations with significant Chi-squares I want to
pinpoint the groups that contribute the most towards the difference.
I guess I can do this by collapsing the group variable into several
dichotomous variables (covering all the combinations) and study the change
in Chi-square. This, however, seems both tedious and clumsy. Is there
another more general method ?
Lastly in some cases where the total Chi-square is non-significant, you can
see that the collapse of some categories, would result in a significant
Chi-square. I remember from my elementary statistics courses way back that
fiddling with your tables afterwards was severely frowned upon. Is this
still the prevailing attitude in the statistical community ?
Thankful for any comments
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