Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology

Publication bias impacts on effect size, statistical power, and magnitude (Type M) and sign (Type S) errors in ecology and evolutionary biology

Abstract Collaborative efforts to directly replicate empirical studies in the medical and social sciences have revealed alarmingly low rates of replicability, a phenomenon dubbed the ‘replication crisis’. Poor replicability has spurred cultural changes targeted at improving reliability in these disc...

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Bibliographic Details
Main Authors: Yefeng Yang, Alfredo Sánchez-Tójar, Rose E. O’Dea, Daniel W. A. Noble, Julia Koricheva, Michael D. Jennions, Timothy H. Parker, Malgorzata Lagisz, Shinichi Nakagawa
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Biology
Subjects:
Open science
Replicability
Reproducibility
Transparency
Selective reporting
Questionable research practices
Online Access:https://doi.org/10.1186/s12915-022-01485-y

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