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Re: iid distribution problem [SEC: UNCLASSIFIED]

Posted by Gosse, Michelle on Sep 14, 2011; 7:46pm
URL: http://spssx-discussion.165.s1.nabble.com/Re-iid-distribution-problem-SEC-UNCLASSIFIED-tp4804215.html

Hi Frank,

I have the same question as David and Rich, I'm not sure how the IID issue in your subject line relates to the design you've laid out below.

Do you think there is a lack of independence between the ratings given by the various probands?

Can you give a fuller description of the study design?

Cheers
Michelle



-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of drfg2008
Sent: Wednesday, 14 September 2011 9:39 PM
To: [hidden email]
Subject: Re: iid distribution problem

the case seems to be a bit more complicated (at least for me). Any help and/or syntax appreciated.


Problem:

"479 raters score 16 objects. Each rater score (a) the same 16 objects"

this is a shortened version of the data with 6 objects and 2 raters...

*caseNo:* number of object
*DV:* dependent variable - has to be explained (object)
*IV1:* 1st independent variable - has to be tested (object)
*IV2:* 2nd independent variable - has to be tested (object)
*IV3:* 3rd independent variable - has to be tested (object)
*probandNo:*  the number of the proband (rater)
*prob_age:* age of proband  - has to be tested (rater)
*prob_sex:* sex of proband (rater) - has to be tested (rater)


probandNo       DV      IV1     IV2     IV3     caseNo  prob_age        prob_sex
1000    1       5       4       3       1       42      1
1000    3       4       1       1       2       42      1
1000    4       5       2       4       3       42      1
1000    2       8       4       5       4       42      1
1000    1       7       3       2       5       42      1
1000    1       2       2       2       6       42      1

1001    1       2       2       2       1       32      2
1001    1       7       3       2       2       32      2
1001    2       8       4       5       3       32      2
1001    4       5       2       4       4       32      2
1001    1       5       4       3       5       32      2
1001    3       4       1       1       6       32      2

The underlying question is which of the variables (object: IV1, IV2, IV3 -
Rater: prob_age, prob_sex) exerts an influence on DV.


Thanks

-----
Dr. Frank Gaeth
FU-Berlin

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