--- In [email protected], TurquoiseB <[EMAIL PROTECTED]> 
wrote:
> --- In [email protected], "sparaig" <[EMAIL PROTECTED]> 
wrote:
> > Inherit in all ME studies is the idea that the larger the sample, 
> > the more likely the effect will show. Fairfield (not to mention 
MUM 
> > itself) is small enough that the ME effect might easily be 
> confounded 
> > by variables that don't effect a larger area. For instance, if 
even 
> > one MUM student is a pyschopathic nut, the murder-rate on campus 
> > might shoot up drastically...
> > 
> > Likewise with some meditator with a legitimate medical marijuana 
> > need: that single person would change the marijuana use rate in 
the 
> > double digits on campus, and the arrest rate in the Fairfield 
> > community by nearly as much.
> > 
> > You should know this already, Peter.
> 
> From "The Big Chill" --
> 
> Jeff Goldblum (Michael): Don't knock rationalizations.  
> I don't know anyone who could get through the day without 
> two or three juicy rationalizations. They're more important 
> than sex. 
> 
> Tom Berenger (Sam Weber): Ah, come on. Nothing's more 
> important than sex.
> 
> Jeff Goldblum (Michael): Oh yeah? Ever gone a week without 
> a rationalization?
> 

Not a rationalization. I never said that there might not be ME 
studies on Fairfield, only that some minor occurance that wouldn't 
effect a study on a larger population might well swamp whatever tiny 
effect the ME is supposed to have when you look at a small population 
like Fairfield.

The point is: small studies seldom support the NULL hypothesis from a 
practical perspective because most small studies WILL support the 
Null hypothesis whether or not there is a real effect to be studied.

It's called a "Type II Error": odds are, with a small study, you 
won't notice an effect for many things that really do have an effect. 

It's good practice for students, however.




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