On effect size.
By Ken Kelley, Kristopher J Preacher. Psychological methods, 2012
671 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/96c05120d127ac144a4d1a43cc98e81baed488a7
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Andrew F. Hayes
- Kristopher J Preacher
- Jan Dul
- A. Salehi
- M. Hajizadeh
- A. Bordbar
- A. Katebi
- Michael T. Kalkbrenner
In Management Science and Operations Research
- Andrew F. Hayes
- Jan Dul
- Kristopher J Preacher
- A. Salehi
- M. Hajizadeh
- A. Bordbar
- A. Katebi
- Thomas J. Dunn
In Statistics and Probability
- Andrew F. Hayes
- Kristopher J Preacher
- Jan Dul
- A. Salehi
- M. Hajizadeh
- A. Bordbar
- A. Katebi
- Thomas J. Dunn
Citations in the corpus
- From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. (2014, background): “In linewith this, Kelley and Preacher (2012) highlight that CIs are an important requirement for any good effect size metric (of which a reliability estimate is an exemplar).”
- Statistical mediation analysis with a multicategorical independent variable. (2014, background): “See Hayes (2013), Kelley and Preacher (2012), and Preacher and Kelley (2011) for a discussion of various measures and controversies.”
- The Relationship Between “Job Satisfaction” and “Job Performance”: A Meta-analysis (2021, methodology): “In meta-analysis, the magnitude of the relationship between two variables is measured by effect size (Kelley & Preacher, 2012).”
- Necessary Condition Analysis (NCA) (2015, methodology): “An effect size is a ‘‘quantitative reflection of the magnitude of some phenomenon that is used for the purpose of addressing a question of interest’’ (Kelley & Preacher, 2012, p. 140).”