That's how I read it.

And that's how I've read it in several stats books.  Bugs the hell out of me.

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts & Sciences
Baker University
--

From: Wuensch, Karl L [mailto:[email protected]]
Sent: Sunday, April 01, 2012 5:29 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: [tips] Frequency of Type I errors in published research.










          Referring to the file drawer problem and data falsification, the 
president of the Association for Psychological Science recently wrote:  "These 
and related factors should tend to inflate 'false positives' (aka Type I 
errors), which leads inexorably to the pessimistic conclusion that some unknown 
(but considerably higher than .05) proportion of our field's published effects 
are not true effects."

          Am I misreading this, or does he imply (incorrectly) that use of the 
.05 criterion of statistical significance would be expected to result in 5% of 
published research findings being Type I errors?


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