I think you are testing very different hypotheses in
these two cases.  If nothing else you've partitioned
the SSbetween from the one-way ANOVA into three
pieces indicating that you are testing three
questions in the two-way ANOVA instead of one with
the one-way.

Your effect for "A" will clearly be different
because you are testing different means with the
two-way than the one-way.  Once you impose two
levels of "B" you reduce the number of levels of "A"
from 10 to 5.  

So what you are testing changes, fairly
dramatically, so the p-values and F-values should
change as well.

Michael

****************************************************
Michael Granaas                 [EMAIL PROTECTED]
Assoc. Prof.                    Phone: 605 677 5295
Dept. of Psychology             FAX:  605 677 3195
University of South Dakota
414 E. Clark St.
Vermillion, SD 57069
*****************************************************

----- Original Message -----
From: [EMAIL PROTECTED] (John Katsaridas)
Date: Tuesday, March 30, 2004 7:18 am
Subject: [edstat] one way ANOVA vs two way ANOVA

> I am using Excel to do some ANOVA calculations.
Say that we have one
> independent variable A, where we have 10 samples
for each level of A.
> Then a one way ANOVA tells us whether there is a
significant
> difference
> in the means of A's levels. 
> If I add a second independent variable B with 2
levels to the data
> set,
> and I assign 5 samples from each level of A to
each level of B, then
> each cell of the 2 dimensional table will be made
up of 5 samples.
> When I perform a two
> way ANOVA in Excel, it gives us 3 values, then
means of the samples
> grouped
> by factor A, the means grouped by factor B, and
the interaction
> effect.
> However the p value I get for the samples grouped
by A in two way
> ANOVA,
> is different than the p value of the one way ANOVA
on A that I
> performed
> at the beginning. Why is this? Shouldn't the
p-values be identical?
> Aren't
> we testing the same hypothesis in each case?
> Thank you very much.
> .
> .
>
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