Rewriting results sections in the language of evidence

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.

Automated summary

Despite criticism, the black-or-white null-hypothesis significance testing with an arbitrary P-value cutoff remains the standard way to report scientific findings. However, a lack of knowledge about suitable alternatives hampers progress. This study suggests using a language of evidence as a simpler and more intuitive alternative, which allows for a more nuanced approach in communicating scientific findings.