We have data from an experiment in psychology of hearing. There are 3
experimental conditions (factor C). We have collected data from 5
subjects (factor S). For each subject we get 4 measures of performance
(M for Measure factor) in each condition. What is the best way to
analyse these data?
We've seen these possibilities :
a) ANOVA with repeated measures with 2 fixed factors : subjects &
conditions and the different measures as the repeated measure factor
(random factor).
b) ANOVA with two fixed factor (condition & measure) and a random
factor (repeated measure-> subject factor).
c) ANOVA with one fixed factor (condition) and the other two as
random.
We think that the a) design is correct (assuming and verifying that
there is no special effect of the measure factor such as training
effects).
Other psychologist advised us to use the b) design because
psychologists use to consider the subject effect as random. (in
general experiments in psychology are ran with at least 20 to 30
subjects).
The last design (c)) is a possibility if we declare that we have no
hypothesis on the effects of subject & repetition factors.
I have only little theoretical background in stats and I like to know
what exactly imply these possible designs.
Thanks in advance for your help
Sylvain Clement
"Auditory function team"
Bordeaux, France
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