The Essential Guide to Effect Sizes: Drawing conclusions using meta-analysis
By P. Ellis. 2010
121 citations recorded by the source corpus.
Subfields: History and Philosophy of Science, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/08a766de8d75f1a1b50c15dc952723b05b6defd6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In History and Philosophy of Science
In Statistics and Probability
- Arthur Bakker
- B. Pepin
- K.P.E. Gravemeijer
- Tetsuya Sakai
- Jaap de Koning
- Kees Hoogland
- Alexei Botchkarev
- M. Pfannkuch
Citations in the corpus
- Statistical reform in information retrieval? (2014, methodology): “1); and (b) share some basic reporting practices across IR researchers to facilitate meta-analysis [4] and to form conclusions that “add up” [1].”
- Changing representation in contextual mathematical problems from descriptive to depictive: The effect on students’ performance (2018, methodology): “From our power analysis, therefore, we aimed at a number of participants well over 5000, so that inferences about a small effect could be drawn (Ellis, 2010).”
- Birds living near airports advance their dawn chorus and reduce overlap with aircraft noise (2015, unknown): “Ellis PD. 2010.”