for a class ... i used an example from moore and mccabe ... a 2 factor
anova case ...
4 levels of factor A ... 4 levels of factor B ... completely randomized
design ... n=10 in each of the 16 cells
now, after the data are stacked so that data are in a column and codes for
the two independent variables are in TWO other columns ... it is easy to
get a nice graph ... and do the anova .... which yielded one main effect
and a significant interaction
graph = 1 page ... anova output = part of 1 page ...
now, if you wanted to do some multiple comparisons ... say, the tukey test
... there is an option in the minitab glm command to do this ....
think of it ... 16 means ... all possible comparisons ... and minitab not
only produces (which i like) confidence intervals but ... all possible t
test statistics ...
THAT TOOK AND YIELDED ... 12 pages of output!
reading statistical output these days is really complicated due (partly) to
THAT ... the volume of possible output becomes huge ... hence, the
confusion factor of reading (heaven forbid ... understanding!) what is
there drastically increases
_________________________________________________________
dennis roberts, educational psychology, penn state university
208 cedar, AC 8148632401, mailto:[EMAIL PROTECTED]
http://roberts.ed.psu.edu/users/droberts/drober~1.htm
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