I do not think it is a mistake because there are several ways of
defining the assumptions of a two-way mixed ANOVA model. For details you
can consult Kleinbaum, Kupper, Muller and Nizam (1998). Applied regression
analysis and other multivariable Methods. (p. 542, footnote 8). They used
MS interaction as error term for testing the random effect in a two-way
mixed model. But in their earlier version Kleinbaum, Kupper and Muller
(1988), they suggested MS error as the error term for testing the random
effect (p.426) as you mentioned. See footnote 8 for explanations.
==========================================================================
Yow-Wu Bill Wu
Phone: (716) 829-3207
School of Nursing Fax: (716) 829-2021
SUNY-Buffalo e-mail: [EMAIL PROTECTED]
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Buffalo, NY 14214
==========================================================================
On Fri, 17 Dec 1999, Miguel Verdu wrote:
> Posted also to comp.soft-sys.stat.spss where the same question appeared
> (and nobody answered).
>
>
>
> Hello.
>
> This is an output of GLM from SPSS 9.0 where the dependent variable
> FLOR (log transformed)
>
> was analysed by crossing 2 levels of the FIXED factor SEX with 2
> levels of the RANDOM factor
>
> POP. The F for POP has been obtained by dividing MS POP/MS (SEX*POP)
> (0.06349/0.199=0.319).
>
> I think this is wrong because the F could be obtained by dividing MS
> POP/MS error
>
> (0.06349/0.05737=1.10). Can anybody tell me if I am right or wrong?
>
>
>
> Dependent variable: LOGFLOR
>
>
> Source TypeIII SS df
> MS F Sig.
>
>
>-----------------------------------------------------------------------------------------------------
>
> Intersecci�n Hip�tesis 694.987 1
> 694.987 10945.783 .006
> Error 6.349E-02 1
> 6.349E-02a
> SEX Hip�tesis .449 1
> .449 2.256 .374
> Error .199 1
> .199b
> POP Hip�tesis 6.349E-02 1
> 6.349E-02 .319 .673
> Error .199 1
> .199b
> SEX * POP Hip�tesis .199 1
> .199 3.467 .066
> Error 4.360 76
> 5.737E-02c
>
>
>-----------------------------------------------------------------------------------------------------
>
> a MS(POP)
> b MS(SEX * POP)
> c MS(Error)
>
>
