| Date: | Wed, 14 May 2003 21:31:47 -0400 |
| Reply-To: | Christina Cutshaw <ccutsha1@JHEM.JHMI.EDU> |
| Sender: | "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU> |
| From: | Christina Cutshaw <ccutsha1@JHEM.JHMI.EDU> |
| Subject: | Interaction term p-value meaning |
| Content-Type: | text/plain; charset=us-ascii |
List Members,
I sent this message a few days ago and received a response that said it
was not distributed, so I thought I would try again.
I have a sample size of 73 organizations and I am using logistic
regression.
Dependent variable (1) n=22 and (0) =n=51
My question is how one determines the significance of an interaction. I
am wondering about having trouble interpreting the significance of an
interaction
between a dichotomous variable G and a nominal one (Group membership A,
B, C).
When I stratify by group I get these results:
Group A OR=0.60 (0.53, 6.80) p=0.680
Group B OR=2.00 (0.78, 51.59) p=0.676
Group C OR=13.50 (1.10, 165.97) p=0.042
However, the significance of the interaction term in the SPSS for Group
C*variable G is 0.081
Is this interaction "significant?"
Thanks!
Chris Cutshaw
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