Not normal: a simulation study comparing effect sizes for skewed psychological data

remains the most robust estimator of a location difference, whereas, η provides a more complete view of the entire distribution. Here, we argue that researchers should select effect sizes based on their statistical properties and propose a shift toward interpreting effects in light of the full distribution, rather than through mean-based conventions.

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Publication Details

Journal
Frontiers in Psychology
Published
2026-04-21
DOI
https://doi.org/10.3389/fpsyg.2026.1771029
Primary Topic
Psychometric Methodologies and Testing
Type
article
Field-Weighted Citation Impact
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article

Not normal: a simulation study comparing effect sizes for skewed psychological data

Massimiliano Pastore, Ambra Perugini, Giulia Calignano
Frontiers in Psychology
Psychometric Methodologies and Testing
article

Not normal: a simulation study comparing effect sizes for skewed psychological data

Massimiliano Pastore, Ambra Perugini, Giulia Calignano
article en

Abstract

remains the most robust estimator of a location difference, whereas, η provides a more complete view of the entire distribution. Here, we argue that researchers should select effect sizes based on their statistical properties and propose a shift toward interpreting effects in light of the full distribution, rather than through mean-based conventions.

Frontiers in PsychologyVol. 17
University of Padua (IT)
Openalex Percentile: Top 17%
Psychometric Methodologies and Testing
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