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Replication Data Sets and Favored-Hypothesis Bias

Comment on Jeremy Freese (2007) and Gary King (2007)

Pennsylvania State University, University Park, firebaug@ pop.psu.edu.

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.

Key Words: data dredging • data sharing • peer review • replication • transparency in science • verification

Sociological Methods & Research, Vol. 36, No. 2, 200-209 (2007)
DOI: 10.1177/0049124107306663


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