Cited by 122Meta-analysis and systematic reviewsPsychology Research and BibliometricsStatistical Methods and Bayesian Inference

A simple method for removing bias from a popular measure of standardized effect size: Adjusted partial eta squared

Mordkoff, J. Toby·2019·Advances in Methods and Practices in Psychological Science

Abstract

Accurate estimates of population effect size are critical to empirical science, for both reporting experimental results and conducting a priori power analyses. Unfortunately, the current most-popular measure of standardized effect size, partial eta squared ([Formula: see text]), is known to have positive bias. Two less-biased alternatives, partial epsilon squared ([Formula: see text]) and partial omega squared ([Formula: see text]), have both existed for decades, but neither is often employed. Given that researchers appear reluctant to abandon [Formula: see text], this article provides a simple method for removing bias from this measure, to produce a value referred to as adjusted partial eta squared (adj [Formula: see text]). Some of the many benefits of adopting this measure are briefly discussed.

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Crossref · 10.1177/2515245919855053

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  • Effect sizes were interpreted using partial η2 thresholds: values less than .06 were considered small effects, values between .06 and .14 as moderate effects, and values greater than .14 as large effects.

    “Effect sizes were reported using partial η 2 , where values less than .06 were considered small effects, values between .06 and .14 as moderate effects, and values greater than .14 as large effects (Mordkoff, 2019).”

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Authors
Mordkoff, J. T.
Affiliations
University of Iowa (US)
Corresponding author
Mordkoff, J. Toby
Venue
Advances in Methods and Practices in Psychological Science
Published
2019-07-30
Volume
2
Issue
3
Pages
228-232
ISSN
  • 2515-2459 (ISSN-L)
  • 2515-2467
OpenAlex
W2965249208
Cited by
122
References
22
Citations by year
2026: 9 · 2025: 18 · 2024: 17 · 2023: 22 · 2022: 20 · 2021: 14 · 2020: 17 · 2019: 4
FWCI
9.39
Type
journal article
Language
en
Open access
closed
Locations
Advances in Methods and Practices in Psychological Science (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords
partial eta squared, bias correction, standardized effect size, a priori power analysis

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