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re: st: Repeated measures with no between-participants vars?
I am trying to assess the way in which participants' evaluations of 3
different stimuli change over time, as indicated in a series of
measurements. I am interested in checking whether the pattern of
changes
in those evaluations is different for the different stimuli.
HOW DOES THIS WORK? DOES EACH SUBJECT SEE 9 PRESENTATIONS (3 TIMES
FOR EACH OF 3 STIMULI) IN RANDOMIZED ORDER? SO SUBJECT 1 MIGHT HAVE
SEEN (1,1,1) (3,3,3) (2,2,2) WHEREAS SUBJECT 2 SAW A DIFFERENT ORDER.
JOSEPH IS THINKING YOU WERE CAREFUL ENOUGH TO BLOCK SUBJECTS INTO ONE
OF THE 6 POSSIBLE ORDERS (1,2,3; 1,3,2; 2,1,3; 2,3,1; 3,1,2; 3,2,1).
SO YOU PROBABLY HAD A MUTLIPLE OF 6 SUBJECTS. BECAUSE YOU HAVE MORE
THAN ONE SUBJECT PER ORDER IF THIS IS THE CASE, ORDER IS A BETWEEN
SUBJECTS FACTOR. YOU CAN MODEL IT OR NOT BUT IT SHOULD HAVE BEEN PART
OF THE STUDY DESIGN.
In other words, the two within-participants variables are (1) type of
stimulus, and (2) time of measurement. There are no between-
participant
variables.
This seems like a simple task, but I haven't been able to get Stata
to do
this for me. I tried a number of variations on the repeated ANOVA
command,
but no luck. I would greatly appreciate any advice.
YOU CAN MODEL THIS WITH EITHER ANOVA, MANOVA, OR XTMIXED, IN ADDITION
TO WHAT JOSEPH SAYS. FOR XTMIXED, SEE
<http://www.ats.ucla.edu/stat/Stata/faq/xtmixed.htm>
AND FOR ANOVA SEE
http://www.stata.com/support/faqs/stat/anova2.html
-DAVE
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