Thanks for your advice. I should describe my experimental design more
detailed.
I have two within subject factors, say A (2 level) and B (4 level). Subjects
do 24 trials for each combination of A and B. The dependent variable is the
judgement of target position. What I concern is: whether certain levels of A
or B lead to more variation in subjects' judgements of target position. Of
course, I can compare the means in every condition. However, I am more
interested in whether every subject performs more variablely in the
precision of position judgement in some condition than others. For example,
for A1xB2 condition, subject 1 gives out 24 responses, and thus has a
variance caculated form these 24 responses. Subjects can have variances for
their trials in every condition, just as they will have means for their
trials in every condition. Finally we can obtain the following variance
table:
subj A1B1 A2B1 ........ A1B4 A2B4
1 var111 var121 var114 var124
2 var211 var221 var214 var224
3
4
.
.
.
n varn11 varn21 varn14 varn24
The hypothesis I would like to test is:
H0: variances in A1B1 is not different from A2B4.
If the null hypothesis in rejected, I can infer that subjects' judgements
are MORE VARIABLE in condition A1B1 than in A2B4.
Erik
auda <[EMAIL PROTECTED]> wrote in message 8m4q92$r7e$[EMAIL PROTECTED]">news:8m4q92$r7e$[EMAIL PROTECTED]...
> Hi,
> What kind of procedure should I use to compare the varience between
> different experimental groups?
>
> Thanks
> Erik
>
>
>
>
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