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Replication data for: Testing for Publication Bias in Political Science

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: Testing for Publication Bias in Political Science
 
Identifier https://doi.org/10.7910/DVN/DQC9KV
 
Creator Alan Gerber
Donald Green
David Nickerson
 
Publisher Harvard Dataverse
 
Description If the publication decisions of journals are a function of the statistical significance of research findings, the published literature may suffer from “publication bias.” This paper describes a method for detecting publication bias. We point out that to achieve statistical significance, the effect size must be larger in small samples. If publications tend to be biased against statistically insignificant results, we should observe that the effect size diminishes as sample sizes increase. This proposition is tested and confirmed using the experimental literature on voter mobilization.
 
Date 2001