A large-scale in silico replication of ecological and evolutionary studies
Despite the growing concerns about the replicability of ecological and evolutionary studies, no results exist from a field-wide replication project. We conduct a large-scale in silico replication project, leveraging cutting-edge statistical methodologies. Replicability is 30%-40% for studies with marginal statistical significance in the absence of selective reporting, whereas the replicability of studies presenting 'strong' evidence against the null hypothesis H<sub>0</sub> is >70%. The former requires a sevenfold larger sample size to reach the latter's replicability. We call for a change in planning, conducting and publishing research towards a transparent, credible and replicable ecology and evolution.
Authors
- Yefeng Yang (ORCID: https://orcid.org/0000-0002-8610-4016)
- Erik W. van Zwet (ORCID: https://orcid.org/0000-0001-5537-3179)
- Shinichi Nakagawa (ORCID: https://orcid.org/0000-0002-7765-5182)
- Nikolaos Ignatiadis (ORCID: https://orcid.org/0000-0001-7767-2583)
Institutions
- University of Alberta (CA)
- Leiden University Medical Center (NL)
- UNSW Sydney (AU)
- University of Chicago (US)
- Environmental Earth Sciences (AU)
Publication Details
- Journal
- Nature Ecology & Evolution
- Published
- 2024-09-26
- DOI
- https://doi.org/10.1038/s41559-024-02530-5
- Citations
- 7
- Primary Topic
- Evolution and Genetic Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 3.85
Funders
- University of New South Wales
- National Natural Science Foundation of China
- Australian Research Council