Claudia Stanny wrote, "I once served on a committee for a master's thesis in 
which the student,  disappointed that his findings produced non-significant 
p-values, tried
some alternative analyses in SPSS. He showed up one day, beaming, with an
output that he thought indicated he had a "significant 3 factor solution"
for his data. Problem: his data were based on a factorial design. [Perhaps
that explains why he thought a factor analysis would be a good idea.
(sigh)]"

I'll go you one better, Claudia. I did a post doc in a bio dept.  in which the 
graduate statistics course was, basically, "here's how you use SPSS" (or 
whatever program they were using in 1976).  Although I had been, at best, a 
mediocre statistics student, I because the ersatz departmental statistician. 
The worst moment was when a doctoral candidate had trouble understanding why he 
couldn't do an ANOVA on his data when one of the groups had an N=1.




Edward I. Pollak, Ph.D.
Professor Emeritus of Psychology
West Chester University of Pennsylvania
http://home.comcast.net/~epollak/
Husband, father, grandfather, bluegrass fiddler, banjoist & 
biopsychologist............... in approximate order of importance



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