I assume you are using a regression model and are coding the categorical
variables yourself. Consider:
Y = b0 + b1X + b2S + b3SX
Where S = 1 for male and 0 for female.
Then for females, the model is : Y = b0 + b1X
For males:
Y = (b0 + b2) + (b1+b3)X
So that b3 is the difference in slopes between males and
females.
Suppose you recode S to be 5 for females and 2 for males;
Then for females : Y = b0 + 5 + (b1 + 5b3)X
And for males: Y = b0 + 2 +
(b1 + 2b3)X
Now 5b3 - 2b3 represents the difference in slopes or 3b3. Thus,
the parameter changes but so does the standard error so that the t test remains
the same.
Dr. Paul R. Swank,
Professor and Director of Research
Children's Learning Institute
University of Texas Health Science Center-Houston
From: SPSSX(r) Discussion
[mailto:[hidden email]] On Behalf Of Karen Wood
Sent: Tuesday, May 12, 2009 9:05 PM
To: [hidden email]
Subject: Differences in Beta coefficients for interaction terms.
Hi
I
To obtain significance levels for B and beta for females as well as males I
re-coded males and females. However, the betas obtained for the interaction
terms were different. Why is this and what does it mean?
Karen