Journal article
A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared
Advances in methods and practices in psychological science, Vol.2(3), pp.228-232
09/2019
DOI: 10.1177/2515245919855053
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 (
η
^
p
2
), is known to have positive bias. Two less-biased alternatives, partial epsilon squared (
ε
^
p
2
) and partial omega squared (
ω
^
p
2
), have both existed for decades, but neither is often employed. Given that researchers appear reluctant to abandon
η
^
p
2
, this article provides a simple method for removing bias from this measure, to produce a value referred to as adjusted partial eta squared (adj
η
^
p
2
). Some of the many benefits of adopting this measure are briefly discussed.
Details
- Title: Subtitle
- A Simple Method for Removing Bias From a Popular Measure of Standardized Effect Size: Adjusted Partial Eta Squared
- Creators
- J. Toby Mordkoff - Department of Psychological and Brain Sciences, University of Iowa
- Resource Type
- Journal article
- Publication Details
- Advances in methods and practices in psychological science, Vol.2(3), pp.228-232
- Publisher
- SAGE Publications
- DOI
- 10.1177/2515245919855053
- ISSN
- 2515-2459
- eISSN
- 2515-2467
- Language
- English
- Date published
- 09/2019
- Academic Unit
- Psychological and Brain Sciences
- Record Identifier
- 9984214753002771
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