I believe that in SPSS and SAS (JMP is an offshoot of SAS, so probably
has similar mathematical underpinnings), you can choose the types of sum
of squares that you want. If you do not specifically state which you
want, they may have different defaults. Hence the different results.
You can go into the help and find out the default and as long as you
know which you want, you can then force them to do the one you want.
Cheers,
Jim
MaryBeth Voltura wrote on 09-Jun-09 21:09:
I am reviewing an old dataset that I had originally analyzed in Statview
(5.0.1), and re-ran some statistics in SPSS (v.16.0), with very
different results. I am running ANOVA on food intake, using body mass
as a covariate, with 3 experimental diet groups. The two programs
produce different sums of squares and utilize different degrees of
freedom for the independent variables, thus producing very different
p-values.
Has anyone working with these two programs run into anything similar?
BTW, if I run the ANOVA with no covariate, the sum of squares and
F-statistic and p-values match up between Statview and SPSS.
Any ideas?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Mary Beth Voltura, Assistant Professor
Department of Biological Sciences
SUNY Cortland
Cortland NY 13045
607-753-2713
marybeth.volt...@cortland.edu
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