Thank you very much for your answer to my problem. Your explanation are
very clear & precise. I wish I could have meet a professor in stats as
clear as you are during my high school education.
Sylvain Clement
At 14:19 09/02/2001 -0500, Donald Burrill wrote:
>If for each Subject
Sylvain Clément wrote:
If your data is in this format:
Subject Condition Measure1 Measure2 Measure3 Measure4
S1 C1 y y y
y
S2 C1 y y y
On Fri, 09 Feb 2001 16:17:04 GMT, [EMAIL PROTECTED]
(Sylvain Clément) wrote:
>
>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
If for each Subject you have 4 Measures in each of the 3 Conditions, then
both Conditions and Measures are repeated-measures factors: you design
may be symbolized as S x C x M -- that is, Subjects (5 levels) are
crossed with both Conditions and Measures. This design is equivalent to
R(S
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'
