Hi Stephen-

Thanks for the link. It's a pretty good summary of some of the "dirty little 
secrets" of statistical analysis. However I was surprized at the lack of 
mention of effect size as an important tool for dealing with the "significant 
equals important" isssue. Re this point; I always insited that students use the 
term "statistically reliable" rather than "statistically significant". While a 
small point I think that it helps people understand what their findings 
actually mean.

-Don.

----- Original Message -----
From: [email protected]
Date: Sunday, March 21, 2010 8:24 am
Subject: [tips] Odds are, it's wrong
To: "Teaching in the Psychological Sciences (TIPS)" <[email protected]>

> Alerted by a colleague, I  recommend an instructive if 
> depressing essay on the problematic use of statistics in science.
> 
> http://www.sciencenews.org/view/feature/id/57091/title/Odds_ar
> e,_its_w or http://tinyurl.com/yh7sk7r
> 
> Teaser:
> 
> "Supposedly, the proper use of statistics makes relying on 
> scientific results a safe bet. But in practice, widespread 
> misuse 
> of statistical methods makes science more like a crapshoot."
> 
> Stephen
> --------------------------------------------
> Stephen L. Black, 
> Ph.D.          
> Professor of Psychology, Emeritus   
> Bishop's 
> University               
> e-mail:  sblack at ubishops.ca
> 2600 College St.
> Sherbrooke QC  J1M 1Z7
> Canada
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