Reporting and interpreting non-significant results in animal cognition research.

ABSTRACT: How statistically non-significant results are reported and interpreted following null hypothesis significance testing is often criticized. This issue is important for animal cognition research because studies in the field are often underpowered to detect theoretically meaningful effect sizes, i.e., often produce non-significant p-values even when the null hypothesis is incorrect. Thus, we manually extracted and classified how researchers report and interpret non-significant p-values and examined the p-value distribution of these non-significant results across published articles in animal cognition and related fields. We found a large amount of heterogeneity in how researchers report statistically non-significant p-values in the result sections of articles

SUBMITTER: Farrar BG 

PROVIDER: S-EPMC10008313 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature