[From Bruce Abbott (971204.1210 EST)]
Rick Marken (971204.08250) --
Bruce Abbott (971204.0945 EST)
A repeated measures design is an individual subject design replicated
as many times as there are subjects. Nothing precludes the
investigator from examining the data for each individual separately,
and large differences in the trends of individual subjects would
show up as a large error term within the ANOVA, as well as big
standard errors around at least some of the individual means.
Everything you say here is wrong.
So you wish to claim that a repeated measures design is NOT an individual
subject design replicated as many times as there are subjects? I'm sure
that any competent statistician would be very surprised to learn of this.
Why don't you ask one and see?
You also wish to claim that something precludes the investigator from
examining the data for each individual separately. What, pray tell,
prevents him or her from doing so? They are right there in the data matrix.
Large differences in the trends of individual subjects would NOT show up as
a large error term in the ANOVA? I'd like to see a demonstration of this,
and you don't need a spreadsheet. I'd be happy if you would provide a table
showing the individual subject values at each level of the IV and the
one-factor repeated measures ANOVA results. Just make up some data that
support your case.
There will be NO big standard errors around at least some of the treatment
means? O.K., don't forget to provide the standard errors for each mean, too.
If you want, I can run the ANOVA for you. Then you only have to provide the
table of data. Fair enough?
Regarding individual trends, I consider it a "large difference
in trend" if the effect of A on B is positive linear for one
individual, negative linear for another, U shaped for another
and inverted U for still another. This is how the individuals
responded in my "oh god, not again" spreadsheet.
Fine, just copy the individual data into a table and post it.
Regards,
Bruce