Re: Please help with the design: 22 parameters influencing single outcome

On 24 Nov 2003 13:36:55 -0800, [EMAIL PROTECTED] (Pawel
Kusmierek) wrote:

>I would appreciate your advice on statistical design.
>
>There are four subjects, each was tested with 171 stimuli. Each
>stimulus is described by 22 parameters. A test yields a single
>numerical outcome. I am interested whether the parameters of stimuli
>influenced test results.
>
>One idea is to average the subjects' test results for each stimulus
>and calculate partial correlation coefficients between the average
>test result and the 22 parameters.  However, this approach offers no
>view into the intersubject variability.
>
>Another idea is to categorize the stimuli according to each
>parameter's value: e.g. >=median vs. <median.  Then I would check
>whether test results obtained with stimuli which have high (>=median)
>parameter values differ from test results obtained with stimuli which
>have low (<median) values.
>
>I was thinking of a 23-factor ANOVA, with one repeated mesures factor
>(subject) and 22 factors=parameters.  In the design, only main factors
>and interactions (subject x a_parameter) would be analyzed.
>
>In such way, I would get a measure of whether any of the parameters
>influences the test result (high Fs for 22 factors-parameters) and a
>measure of across-subjets consistency of this influence (low Fs for
>subject x parameter).
>
>I would like to see your comments.


        Have you considered a Correlational Matrix on the parameters to
determine which are most influential on a Regression to predict
results???


        IMHO...

        MJR
(REMOVE "NoSPAM." from REPLY address to reply)
(This email scanned by Norton Anti-Virus and Certified VIRUS FREE!)

Michael J. Reeves, AA, ASc
E-Mail: [EMAIL PROTECTED]
---------------------------------------------------------
I have no SPAM. I don't give a SPAM.
I take no SPAM from anyone. I am NOT in the SPAM business!!!