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Publication Bias Against Null Results

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Author Info
Raymond Hubbard (College of Business & Public Administration, Duke University)
JS Armstrong (The Wharton School)

Additional information is available for the following registered author(s):

Abstract

Studies suggest a bias against the publication of null (p > .05) results. Instead of significance, we advocate reporting effect sizes and confidence intervals, and using replication studies. If statistical tests are used, power tests should accompany them.

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File URL: http://129.3.20.41/eps/get/papers/0502/0502034.pdf
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Publisher Info
Paper provided by EconWPA in its series General Economics and Teaching with number 0502034.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 2 pages
Date of creation: 11 Feb 2005
Date of revision:
Handle: RePEc:wpa:wuwpgt:0502034

Note: Type of Document - pdf; pages: 2
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Web page: http://129.3.20.41

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Related research
Keywords: publication; bias; null results;

Find related papers by JEL classification:
A - General Economics and Teaching

This paper has been announced in the following NEP Reports:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Hubbard, Raymond & Vetter, Daniel E., 1996. "An empirical comparison of published replication research in accounting, economics, finance, management, and marketing," Journal of Business Research, Elsevier, vol. 35(2), pages 153-164, February. [Downloadable!] (restricted)
  2. Raymond Hubbard & JS Armstrong, 2005. "Replications and Extensions in Marketing – Rarely Published But Quite Contrary," General Economics and Teaching 0502051, EconWPA. [Downloadable!]
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Statistics
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This page was last updated on 2010-1-4.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.