Cited by 3,254Meta-analysis and systematic reviewsStatistical Methods and Bayesian InferenceStatistical Methods in Epidemiology

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New Effect Size Rules of Thumb

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Sawilowsky, Shlomo S.·2009·Journal of Modern Applied Statistical Methods

DOI 10.22237/jmasm/1257035100

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Abstract

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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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 Unpublished doctoral dissertation, Detroit, MI: Wayne State University.
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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)
DOI: 10.22237/jmasm/1257035100
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

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