Interpreting non-significant effects. Please give your view

[Kornbrot, Diana]

Appeal to scientists and statisticians (Apologies if you receive multiple
requests).
If you use or teach inferential statistics [t-tests, chi-square, ANOVA,
regression, etc.], we would particularly like to have your views on how
non-significant effects should be interpreted and presented to professional
and lay audiences.
 
If you are willing to give 5-10 minutes of your valuable time to address
this question, please go to:
http://web.mac.com/kornbrot/iWeb/statspublic.html
Your advice will be much appreciated. The views expressed will be treated
completely confidentially.  Furthermore, the survey software ensures that no
details that might identify individual participants are recorded.
 
Interpretation of NON-significant effects is CONTROVERSIAL. Reputable
journals vary in their practice, even within a single discipline.
 
This request is being sent to statistician, scientist and academic lists in
order to gather the widest possible spectrum of views. Inevitably, some
questions may appear either naïve or incomprehensible to some respondents.
Please bear with us.
 
This investigation has been approved by the University of Hertfordshire,
School of Psychology Ethics Committee, and Protocol Number: PSY/04/07/DK/RM.
Final results
The final results will be sent to all email lists and be downloadable from
the following web site:
http://web.mac.com/kornbrot/iWeb/KornbrotHome.html.
Any queries, to Diana Kornbrot: [hidden email].
 
Again many thanks for your help

Diana Kornbrot, Rachel Msetfi

Professor Diana Kornbrot
Evaluation Co-ordinator, Blended Learning Unit
University of Hertfordshire
College Lane, Hatfield, Hertfordshire AL10 9AB, UK

email:  [hidden email]
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