Is the effect large enough to matter? Why exercise physiologists should interpret effect sizes meaningfully: a reply to Williams et al. (2023)

Mesquida, Cristian; Lakens, Daniël

doi:10.1113/jp285901

The Journal of Physiology

2023

DOI: 10.1113/jp285901

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Is the effect large enough to matter? Why exercise physiologists should interpret effect sizes meaningfully: a reply to Williams et al. (2023)

Cristian Mesquida,

Daniël Lakens

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2024

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Simulation-Based Power Analyses for the Smallest Effect Size of Interest: A Confidence-Interval Approach for Minimum-Effect and Equivalence Testing

Riesthuis

2024

Advances in Methods and Practices in Psychological Science

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Effect sizes are often used in psychology because they are crucial when determining the required sample size of a study and when interpreting the implications of a result. Recently, researchers have been encouraged to contextualize their effect sizes and determine what the smallest effect size is that yields theoretical or practical implications, also known as the “smallest effect size of interest” (SESOI). Having a SESOI will allow researchers to have more specific hypotheses, such as whether their findings are truly meaningful (i.e., minimum-effect testing) or whether no meaningful effect exists (i.e., equivalence testing). These types of hypotheses should be reflected in power analyses to accurately determine the required sample size. Through a confidence-interval-focused approach and simulations, I show how to conduct power analyses for minimum-effect and equivalence testing. Moreover, I show that conducting a power analysis for the SESOI might result in inconclusive results. This confidence-interval-focused simulation-based power analysis can be easily adopted to different types of research areas and designs. Last, I provide recommendations on how to conduct such simulation-based power analyses.

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Simulation-Based Power Analyses for the Smallest Effect Size of Interest: A Confidence-Interval Approach for Minimum-Effect and Equivalence Testing

Riesthuis

2024

Advances in Methods and Practices in Psychological Science

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show abstract

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Is the effect large enough to matter? Why exercise physiologists should interpret effect sizes meaningfully: a reply to Williams et al. (2023)

Cited by 1 publication

References 14 publications

Simulation-Based Power Analyses for the Smallest Effect Size of Interest: A Confidence-Interval Approach for Minimum-Effect and Equivalence Testing

Simulation-Based Power Analyses for the Smallest Effect Size of Interest: A Confidence-Interval Approach for Minimum-Effect and Equivalence Testing

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