Abstract
We introduce a publication policy that incorporates "conditional equivalence testing" (CET), a two-stage testing scheme in which standard NHST is followed conditionally by testing for equivalence. The idea of CET is carefully considered as it has the potential to address recent concerns about reproducibility and the limited publication of null results. In this paper we detail the implementation of CET, investigate similarities with a Bayesian testing scheme, and outline the basis for how a scientific journal could proceed to reduce publication bias while remaining relevant.
Publication types
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Research Support, Non-U.S. Gov't
MeSH terms
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Bayes Theorem
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Computer Simulation
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Humans
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Periodicals as Topic / standards
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Periodicals as Topic / statistics & numerical data
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Publication Bias* / statistics & numerical data
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Publications / standards*
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Publications / statistics & numerical data
Grants and funding
This research was funded by an award from the Natural Sciences and Engineering Research Council of Canada (NSERC),
http://www.nserc-crsng.gc.ca/, RGPIN 183772-13. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.