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New Effect Size Rules of Thumb
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Recommendations to expand Cohen’s (1988) rules of thumb for interpreting effect sizes are given to include very small, very large, and huge effect sizes. The reasons for the expansion, and implications for designing Monte Carlo studies, are discussed.
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“The magnitude of the overall effect size was within the small to medium range for effect sizes (Sawilowsky 2009).”
From The Impact of Peer Assessment on Academic Performance: A Meta-analysis of Control Group Studies (2020) · cites this paper as Sawilowsky 2009
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Cites
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,603
Statistical power analysis for the behavioral sciences
Cohen, J. (1990) · Computers Environment and Urban Systems · doi:10.1016/0198-9715(90)90050-4 · Cited by 65,417
Statistical Power Analysis for the Behavioral Sciences (2nd ed.).
Lachenbruch, P. A., & Cohen, J. (1989) · Journal of the American Statistical Association · doi:10.2307/2290095 · Cited by 37,421
Statistical Power Analysis for the Behavioral Sciences
Cohen, J. (2013) · doi:10.4324/9780203771587 · Cited by 25,373
Visible learning: a synthesis of over 800 meta‐analyses relating to achievement
Carter, M. (2009) · Educational Psychology · doi:10.1080/01443410903415150 · Cited by 7,696
(2008) · Cited by 6,939
The statistical power of abnormal-social psychological research: A review.
Cohen, J. (1962) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0045186 · Cited by 1,824
Effectiveness of mentoring programs for youth: A meta-analytic review
DuBois, D. L., Holloway, B. E., Valentine, J. C., & Cooper, H. (2002) · American Journal of Community Psychology · doi:10.1023/a:1014628810714 · Cited by 1,544
Some Practical Guidelines for Effective Sample Size Determination
Lenth, R. (2001) · The American Statistician · doi:10.1198/000313001317098149 · Cited by 1,200
Improving the Productivity of America's Schools.
Walberg, H. J. (1984) · Educational leadership · Cited by 731
Research works printed but not linked: 2
- [1]1. Bridge, T. J. (2007). Deconstructing the comparative power of the independent samples t test vs the Wilcoxon Mann-Whitney test for shift in location. Unpublished doctoral dissertation, Detroit, MI: Wayne State University.
- [13]13. Sawilowsky, S. S., Sawilowsky, J., & Grissom, R. J. (in press). Effect size. International Encyclopedia of Statistical Science. NY: Springer.
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Zhang, T., Xie, P., Dong, Y., Liu, Z., Zhou, F., Pan, D., Huang, Z., Zhai, Q., Gu, Y., Wu, Q., et al. (2020) · PLoS Genetics · doi:10.1371/journal.pgen.1008577 · Cited by 21
Ali, S. H. M., Omar, N., Shafie, M. S., Ismail, N. A. N., Hadi, H., & Nor, F. M. (2020) · Anatomy & Cell Biology · doi:10.5115/acb.19.135 · Cited by 23
Niu, X., Zhou, S., & Casement, M. D. (2021) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2021.101443 · Cited by 21
Nunfam, V. F. (2021) · Heliyon · doi:10.1016/j.heliyon.2021.e06918 · Cited by 26
Metadata
- Authors
- Sawilowsky, S. S.
- Affiliations
- Wayne State University (US)
- Corresponding author
- Sawilowsky, Shlomo S.
- Venue
- Journal of Modern Applied Statistical Methods
- Publisher
- Scilight Press Pty Ltd
- Published
- 2009-11-01
- Volume
- 8
- Issue
- 2
- Pages
- 597-599
- ISSN
- 1538-9472 (ISSN-L)
- OpenAlex
- W1556779599
- Cited by
- 3,254
- References
- 16
- Citations by year
- 2026: 295 · 2025: 328 · 2024: 358 · 2023: 405 · 2022: 449 · 2021: 456 · 2020: 341 · 2019: 315 · 2018: 200 · 2017: 92 · 2016: 5 · 2015: 2 · 2014: 1 · 2013: 4
- FWCI
- 0.41
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Modern Applied Statistical Methods (publishedVersion)
- Human Biology (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- effect size, sample size determination
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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