Rewriting results sections in the language of evidence

2021/11/16 by Stefanie Muff, Erlend B. Nilsen, Robert B. O’Hara +1 · 36 citations
Decision Sciences · #Meta-analysis and systematic reviews #scientometrics and bibliometrics research

paper · pdf · doi:10.1016/j.tree.2021.10.009

openalex publication_date 2021/11/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Despite much criticism, black-or-white null-hypothesis significance testing with an arbitrary P-value cutoff still is the standard way to report scientific findings. One obstacle to progress is likely a lack of knowledge about suitable alternatives. Here, we suggest language of evidence that allows for a more nuanced approach to communicate scientific findings as a simple and intuitive alternative to statistical significance testing. We provide examples for rewriting results sections in research papers accordingly. Language of evidence has previously been suggested in medical statistics, and it is consistent with reporting approaches of international research networks, like the Intergovernmental Panel on Climate Change, for example. Instead of re-inventing the wheel, ecology and evolution might benefit from adopting some of the 'good practices' that exist in other fields.

Citations

• Why Most Published Research Findings Are False
• The ASA Statement on p -Values: Context, Process, and Purpose
• A practical guide to selecting models for exploration, inference, and prediction in ecology

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