A farewell to Bonferroni: the problems of low statistical power and publication bias
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Summary
The meta-analysis on statistical power by Jennions and Moller (2003) revealed that, in the field of behavioral ecology and animal behavior, statistical power of less than 20% to detect a small effect and power of more than 50% to detects a medium effect existed.
- Type
- article
- Published
- 2004-11-01
- Cited by
- 2,222
- References
- 27
- Access
- Open access
- OpenAlex
- https://openalex.org/W1986694300
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15627639
Keywords
Bonferroni correction, Biology, Statistical power, Power (physics), Publication bias
References
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- ANALYZING TABLES OF STATISTICAL TESTS
- Publication bias in ecology and evolution: an empirical assessment using the ‘trim and fill’ method
- Practical Significance: A Concept Whose Time Has Come
- Statistical Methods in Psychology Journals: Guidelines and Explanations
- What Future Quantitative Social Science Research Could Look Like: Confidence Intervals for Effect Sizes
- A Simple Sequentially Rejective Multiple Test Procedure
- A survey of the statistical power of research in behavioral ecology and animal behavior
- Arguments for rejecting the sequential Bonferroni in ecological studies
- Confidence intervals are a more useful complement to nonsignificant tests than are power calculations
- Relationships fade with time: a meta-analysis of temporal trends in publication in ecology and evolution
- Are significance thresholds appropriate for the study of animal behaviour?
- Use, Overuse, and Misuse of Significance Tests in Evolutionary Biology and Ecology
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