When should we use one‐tailed hypothesis testing?
By Graeme D. Ruxton, Markus Neuhäuser. 2010
201 citations recorded by the source corpus.
Subfields: Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/187226196c36c8f9748df7ae49f09c6485ae60e5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistics and Probability
- Graeme D. Ruxton
- Markus Neuhäuser
- Michael Emerson
- M. Macleod
- D. Howells
- William J. Browne
- Stanley E. Lazic
- E. Sena
Citations in the corpus
- Review of alternative approaches to calculation of a confidence interval for the odds ratio of a 2 × 2 contingency table (2013, methodology): “…in our survey of the analysis of contingency tables in recent behavioural ecology studies, we found no use of any other measure except the OR (Ruxton & Neuhäuser 2010a), andOR is the onlymeasure discussed in commonly cited statistics texts aimed at biologists (e.g. Quinn&Keough 2002; Sokal…”
- Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020, methodology): “The use of a one-sided test requires justification of why a treatment effect is only of interest when it is in a defined direction and why they would treat a large effect in the unexpected direction no differently from a nonsignificant difference [43].”
- The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research* (2020, methodology): “The use of a one-sided test requires justification of why a treatment effect is only of interest when it is in a defined direction and why they would treat a large effect in the unexpected direction no differently from a nonsignificant difference [43].”