Some subscribers to TIPS and TeachEdPsych might 
be interested in a recent post "The Cult of 
Statistical Significance" [Hake (2010)].  The 
abstract reads:

******************************************
ABSTRACT: Math-Teach's Domenico Rosa has called 
attention to the review of Ziliak & McCloskey 
(2008) by Olle Häggström (2010). According to 
Häggström, Ziliak & McCloskey's major point is 
that "many researchers are so obsessed with 
statistical significance that they neglect to ask 
themselves whether the detected discrepancies are 
large enough to be of any subject-matter 
significance."

Consistent with that outlook, in "Lessons from 
the Physics Education Reform Effort" [Hake 
(2002)] I cited the position of many 
psychologists and biologists that the "effect 
size" is a preferred alternative (or at least 
addition) to the usually inappropriate t-tests 
and p values associated with Null Hypothesis 
Statistical Significance Testing (NHSST).

Nevertheless, many educational researchers (even 
some physicists) still utilize *only* NHSST to 
gauge the significance of their research results.
*****************************************

To access the complete 14 kB post please click on <http://bit.ly/dkTyXP>.


Richard Hake, Emeritus Professor of Physics, Indiana University
Honorary Member, Curmudgeon Lodge of Deventer, The Netherlands
President, PEdants for Definitive Academic References which Recognize the
       Invention of the Internet (PEDARRII)
<rrh...@earthlink.net>
<http://www.physics.indiana.edu/~hake>
<http://www.physics.indiana.edu/~sdi>
<http://HakesEdStuff.blogspot.com>
<http://iub.academia.edu/RichardHake>

"After 4 decades of severe criticism, the ritual 
of null hypothesis significance testing - 
mechanical dichotomous decisions around a sacred 
0.05 criterion - still persists. This article 
reviews the problems with this practice, 
including its near-universal misinterpretation of 
p as the probability that Ho . . . .[[the null 
hypothesis]]. . . .  is false, the 
misinterpretation that its complement is the 
probability of successful replication, and the 
mistaken assumption that if one rejects Ho one 
thereby affirms the theory that led to the test. 
Exploratory data analysis and the use of graphic 
methods, a steady improvement in and a movement 
toward standardization in measurement, and 
emphasis on effect sizes using confidence 
intervals, ands the informed use of available 
statistical methods is suggested. FOR 
GENERALIZATION, PSYCHOLOGISTS MUST FINALLY RELY, 
AS HAS BEEN DONE IN THE OLDER SCIENCES, ON 
REPLICATION."  [My CAPS.]
       -Jacob Cohen (1994) in "The earth is round (p < .05)"


REFERENCES [All URL's accessed on 10 October 
2010; some URL's shortened by <http://bit.ly/>.]

Cohen, J. 1994. "The earth is round (p < .05)." 
American Psychologist 49: 997-1003; online as a 
1.2 MB pdf at <http://bit.ly/a45I2t>, thanks to 
Christopher Green <http://www.yorku.ca/christo/>.

Hake, R.R. 2010. "The Cult of Statistical 
Significance," online on the OPEN AERA-L archives 
at <http://bit.ly/dkTyXP>. Post of 10 Oct 2010 
19:34:16-0700 to AERA-L, Math-Teach, & Net-Gold. 
The abstract and link to the complete post are 
being transmitted to various discussion lists and 
are also online on my blog "Hake'sEdStuff" at 
<http://bit.ly/96bBCM> with a provision for 
comments.
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