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Do Statistical Reporting Standards Affect What Is Published? Publication Bias in Two Leading Political Science Journals

  • Alan Gerber 1
  • Neil Malhotra 2

[1]Alan Gerber, ISPS, Yale University, USA, alan.gerber@yale.edu [2]Neil Malhotra, Graduate School of Business, Stanford University, USA, neilm@stanford.edu

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Table of contents

Method and Data
Results
Discussion
Appendix: Procedures for Collecting Studies from the APSR and the AJPS
References

Quarterly Journal of Political Science

(Vol 3, Issue 3, 2008, pp 313-326)

[Research note]

DOI: 10.1561/100.00008024

Abstract

We examine the APSR and the AJPS for the presence of publication bias due to reliance on the 0.05 significance level. Our analysis employs a broad interpretation of publication bias, which we define as the outcome that occurs when, for whatever reason, publication practices lead to bias in the published parameter estimates. We examine the effect of the 0.05 significance level on the pattern of published findings using a "caliper" test, a novel method for comparing studies with heterogeneous effects, and find that we can reject the hypothesis of no publication bias at the 1 in 32 billion level. Our findings therefore raise the possibility that the results reported in the leading political science journals may be misleading due to publication bias. We also discuss some of the reasons for publication bias and propose reforms to reduce its impact on research.

Data Files

Replication Data | 100.00008024_supp.rar (RAR),

This file contains the data that is required to replicate the data on your own system.

DOI: 10.1561/100.00008024_supp