Hi

On Mon, 26 Jan 2004, Dennis wrote:

> Well, the discussion gets away.
> 
> Perhaps I should not use 'contrasts' at all, because I took the word from
> the table "within subjects contrasts" although I used polynomial.
> 
> What about using effect:
> 
> There was significant main effect in the within-subjects variable TASK,
>  F(1, 4) =  3.083, p = 0.018, which is has significant in the 4th order
> EFFECT, F(1,1) = 5.997, p = 0.019.  ?

As Bruce noted, there was nothing wrong with your use of the term
Contrasts.  I was simply uncertain which kind of contrasts you
had done (polynomial is only one of many different types), and
Thom was concerned about the interpretability of a 4th order
contrast if it was indeed polynomial.  This is a concern because
the pattern in the data for a 4th order contrast would have to be
similar to +1 -4 +6 -4 +1 or its inverse.  What are the odds you
"expected" this pattern?

Bruce also noted a possible problem with the df for the contrast
being 1 in the denominator (1 is correct for the numerator).  
But in fact there also appears to be an error in what you
reported above for the omnibus effect, F(1, 4) = 3.083.  If the
df = 1 for the numerator, then there are no effects to partition
into polynomial or whatever contrasts.  This was also what you
reported in your initial message.  Shouldn't the df for the
numerator be 4 and something else for the denominator?  To get a
p = .018 for an F = 3.083, you would need something like df num =
4, df den = 124.

Best wishes
Jim

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James M. Clark                          (204) 786-9757
Department of Psychology                (204) 774-4134 Fax
University of Winnipeg                  4L05D
Winnipeg, Manitoba  R3B 2E9             [EMAIL PROTECTED]
CANADA                                  http://www.uwinnipeg.ca/~clark
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