Re: iid distribution problem

Posted by Rich Ulrich on Sep 14, 2011; 5:54pm
URL: http://spssx-discussion.165.s1.nabble.com/iid-distribution-problem-tp4746052p4803814.html

From the Subject: line, you were worried about the 16 objects (or 6)
not being i.i.d.  and normal.  Or was the concern about some other
distributions.

 - If you are not testing the 16/6, then you don't need to worry
about their distributions.  What this appears to be, to me, is a
Repeated Measures design with varying covariates, for the 3 IVs.

You can average across the objects and do a simpler analysis
for testing main effects for age and sex.

> Date: Wed, 14 Sep 2011 02:38:41 -0700

> From: [hidden email]
> Subject: Re: iid distribution problem
> To: [hidden email]
>
> 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.
>