Small, Medium, Large? A Meta-Study of Effect Sizes at CHI to Aid Interpretation of Effect Sizes and Power Calculation
Author:
Affiliation:
1. University of Bonn, Bonn, Germany
2. Fraunhofer FKIE, Bonn, Germany
3. University of Bonn, Bonn, Germany and Fraunhofer FKIE, Bonn, Germany
Funder
Werner-Siemens-Stiftung
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3706598.3713671
Reference158 articles.
1. Andrew D. Althouse Jennifer E. Below Brian L. Claggett Nancy J. Cox James A. de Lemos Rahul C. Deo Sue Duval Rory Hachamovitch Sanjay Kaul Scott W. Keith Eric Secemsky Armando Teixeira-Pinto Veronique L. Roger and null null. 2021. Recommendations for Statistical Reporting in Cardiovascular Medicine: A Special Report From the American Heart Association. Circulation 144 4 (July 2021) e70–e91. 10.1161/CIRCULATIONAHA.121.055393
2. Farid Anvari Rogier Kievit Daniël Lakens Charlotte R Pennington Andrew K Przybylski Leo Tiokhin Brenton M Wiernik and Amy Orben. 2023. Not All Effects Are Indispensable: Psychological Science Requires Verifiable Lines of Reasoning for Whether an Effect Matters. Perspectives on Psychological Science 18 2 (2023) 503–507. 10.1177/17456916221091565
3. Farid Anvari and Daniël Lakens. 2021. Using Anchor-Based Methods to Determine the Smallest Effect Size of Interest. Journal of Experimental Social Psychology 96 (Sept. 2021) 104159. 10.1016/j.jesp.2021.104159
4. American Psychological Association (Ed.). 2020. Publication Manual of the American Psychological Association (seventh edition ed.). American Psychological Association, Washington, DC.
5. Donald R. Atkinson Michael J. Furlong and Bruce E. Wampold. 1982. Statistical Significance Reviewer Evaluations and the Scientific Process: Is There a (Statistically) Significant Relationship? Journal of Counseling Psychology 29 2 (1982) 189–194. 10.1037/0022-0167.29.2.189
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