At 07:37 AM 2/28/02 -0800, Brad Anderson wrote:

>I think a lot of folks just run standard analyses or arbitrarily apply
>some "normalizing" transformation because that's whats done in their
>field.  Then report the results without really examining the
>underlying distributions.  I'm curious how folks procede when they
>encounter very goofy distrubions.  Thanks for your comments.

i think the lesson to be gained from this is that, we seem to be focusing 
on (or the message that students and others get) getting the analysis DONE 
and summarizied ... and with most standard packages ... that is relatively 
easy to do

for example, you talk about a simple regression analysis and then show them 
in minitab that you can do that like: mtb> regr 'height' 1 'weight' and, 
when they do it, lots of output comes out BUT, the first thing is the best 
fitting straight line equation like:

The regression equation is
Weight = - 205 + 5.09 Height

and THAT's where they start AND stop (more or less)

while software makes it rather easy to do lots of prelim inspection of 
data, it also makes it very easy to SKIP all that too

before we do any serious analysis ... we need to LOOK at the data ... 
carefully ... make some scatterplots (to check for outliers, etc.), to look 
at some frequency distributions ON the variables, to even just look at the 
means and sds ... to see if some serious restriction of range issue pops up 
...

THEN and ONLY then, after we get a feel for what we have ... THEN and ONLY 
then should we be doing the main part of our analysis ... ie, testing some 
hypothesis or notion WITH the data (actually, i might call the prelims the 
MAIN part but, others might disagree)

we put the cart before the horse ... in fact, we don't even pay any 
attention to the horse

unfortunately, far too much of this is "caused" by the dominant and 
preoccupation of doing "significance tests" so we run routines that give us 
these "p values" and are done with it ... without  paying ANY attention to 
just looking at the data

my 2 cents worth



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Dennis Roberts, 208 Cedar Bldg., University Park PA 16802
<Emailto: [EMAIL PROTECTED]>
WWW: http://roberts.ed.psu.edu/users/droberts/drober~1.htm
AC 8148632401



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