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The case against retrospective statistical power analyses with an introduction to power analysis

The case against retrospective statistical power analyses with an introduction to power analysis acta ethol (2004) 7: 103–108 DOI 10.1007/s10211-004-0095-z COMMENTARY Shinichi Nakagawa T. Mary Foster The case against retrospective statistical power analyses with an introduction to power analysis Received: 19 February 2003 / Revised: 9 July 2004 / Accepted: 20 July 2004 / Published online: 23 October 2004 # Springer-Verlag and ISPA 2004 Keywords Statistical power analysis Retrospective logical flaw of retrospective power analysis when used for . . power analysis Power approach paradox Effect size data-analytic purposes. We believe that many researchers have both not recognised the serious logical flaw in retrospective Introduction power analysis when it is used for interpreting non- significant results and that an accurate understanding of Statistical power analysis is an important tool for planning power analysis has yet to be established among some an experiment because this type of analysis allows researchers, especially among students in the study of researchers to identify an appropriate sample size for a animal behaviour. The purpose of this article is—using the particular experimental design. In recent years, it seems independent t-test as an example—to: (1) outline statistical many biology journals (see Table 1 in Hoenig and Heisey power analysis and its components; (2) describe three 2001) have been encouraging http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png acta ethologica Springer Journals

The case against retrospective statistical power analyses with an introduction to power analysis

Nakagawa, Shinichi; Foster, T.
acta ethologica , Volume 7 (2) – Oct 23, 2004
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Publisher
Springer Journals
Copyright
Copyright © 2004 by Springer-Verlag and ISPA
Subject
LifeSciences
ISSN
0873-9749
eISSN
1437-9546
DOI
10.1007/s10211-004-0095-z
Publisher site
See Article on Publisher Site

Abstract

acta ethol (2004) 7: 103–108 DOI 10.1007/s10211-004-0095-z COMMENTARY Shinichi Nakagawa T. Mary Foster The case against retrospective statistical power analyses with an introduction to power analysis Received: 19 February 2003 / Revised: 9 July 2004 / Accepted: 20 July 2004 / Published online: 23 October 2004 # Springer-Verlag and ISPA 2004 Keywords Statistical power analysis Retrospective logical flaw of retrospective power analysis when used for . . power analysis Power approach paradox Effect size data-analytic purposes. We believe that many researchers have both not recognised the serious logical flaw in retrospective Introduction power analysis when it is used for interpreting non- significant results and that an accurate understanding of Statistical power analysis is an important tool for planning power analysis has yet to be established among some an experiment because this type of analysis allows researchers, especially among students in the study of researchers to identify an appropriate sample size for a animal behaviour. The purpose of this article is—using the particular experimental design. In recent years, it seems independent t-test as an example—to: (1) outline statistical many biology journals (see Table 1 in Hoenig and Heisey power analysis and its components; (2) describe three 2001) have been encouraging

Journal

acta ethologica – Springer Journals

Published: Oct 23, 2004

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