Hi

This is far from being a simple question given the Within-S aspect of the 
continuous variable.  If there are relatively few levels of the continuous 
variable (or the values can be reduced without losing info, producing empty 
cells, etc.) then GLM or MANOVA with partitioning of the interaction might 
still be a worthwhile approach.  

Such questions are best put to the SPSS newsgroup.  For this and other sources 
of help, see Raynald's SPSS Tools page at

http://www.spsstools.net/FAQ.htm#FindHelp 

Jim

James M. Clark
Professor of Psychology
204-786-9757
204-774-4134 Fax
[EMAIL PROTECTED]
 
Department of Psychology
University of Winnipeg
Winnipeg, Manitoba
R3B 2E9
CANADA


>>> "Helweg-Larsen, Marie" <[EMAIL PROTECTED]> 18-Aug-08 1:36 PM >>>
I am having difficulty finding information about how to set up a regression in 
SPSS. I am testing an interaction between a continuous and a dichotomized 
variable (which is why I'm not using ANOVA). However, the continuous variable 
is measured within subjects. I cannot figure out how to setup the regression 
with the repeated measures variable. I've consulted Aiken and West's book 
"Multiple Regression:  testing and interpreting interactions" (which is 
excellent in terms of dummy coding variables, centering them and interpretation 
of interactions), looked at the SPSS manuals, and searched the internet (many 
useful SPSS resources but none address using a regression with a repeated 
measure variable). Can any of you folks direct me to a source with the correct 
syntax.
Thanks
Marie

****************************************************
Marie Helweg-Larsen, Ph.D.
Department Chair and Associate Professor of Psychology
Kaufman 168, Dickinson College
Carlisle, PA 17013
Office: (717) 245-1562, Fax: (717) 245-1971
http://alpha.dickinson.edu/departments/psych/helwegm 

****************************************************

---
To make changes to your subscription contact:

Bill Southerly ([EMAIL PROTECTED])


---
To make changes to your subscription contact:

Bill Southerly ([EMAIL PROTECTED])

Reply via email to