1. Conditional Equivalence Testing: an alternative remedy for publication bias
- Author
-
Paul Gustafson and Harlan Campbell
- Subjects
FOS: Computer and information sciences ,Research Validity ,Computer science ,Science Policy ,Bayesian probability ,Normal Distribution ,lcsh:Medicine ,Publication Ethics ,Research and Analysis Methods ,01 natural sciences ,Methodology (stat.ME) ,Normal distribution ,010104 statistics & probability ,03 medical and health sciences ,0302 clinical medicine ,Econometrics ,Humans ,Computer Simulation ,030212 general & internal medicine ,0101 mathematics ,lcsh:Science ,Equivalence (measure theory) ,Research Integrity ,Research Errors ,Statistics - Methodology ,Scientific Publishing ,Multidisciplinary ,Equivalence testing ,lcsh:R ,Publications ,Bayes Theorem ,Publication bias ,Research Assessment ,Probability Theory ,Probability Distribution ,Reproducibility ,Physical Sciences ,lcsh:Q ,Periodicals as Topic ,Publication Bias ,Mathematics ,Research Article - 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., 37 pages, 9 figures
- Published
- 2017