Replication Data Sets and Favored-Hypothesis Bias

Glenn Firebaugh
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Glenn Firebaugh: Pennsylvania State University, University Park, firebaug@ pop.psu.edu.

Sociological Methods & Research, 2007, vol. 36, issue 2, 200-209

Abstract: Jeremy Freese makes the case for data sharing as a condition of publication for quantitative research in sociology, and Gary King tells us of a Dataverse Network under construction that is designed to routinize the process of posting and storing such data sets. No matter how user-friendly that network turns out to be, it is clear that no system is entirely cost-free, either for researchers or for journal editors. It is important, then, to determine whether the benefits of mandatory data sharing (or ``data relinquishment,'' as Herrnson calls it) would outweigh the costs. In this comment, the author discusses the issue from his vantage point as a former editor and concludes that the benefits of such a requirement most likely would exceed the costs.

Keywords: data dredging; data sharing; peer review; replication; transparency in science; verification (search for similar items in EconPapers)
Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:36:y:2007:i:2:p:200-209

DOI: 10.1177/0049124107306663

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