Key result
Re-calculating statistical power for repeated measures ANOVAs in neurofeedback research using R with a 0.7 correlation assumption highlighted issues with GPower's default effect size calculations.
Why the study?
The authors sought to address statistical power miscalculations in repeated measures ANOVA defaults in GPower after noticing a surprising amount of statistical power in neurofeedback reviews.
Highlights statistical power miscalculations in neurofeedback research due to default settings in GPower for repeated measures ANOVAs.
May explain inflated power estimates in fMRI-nf reviews; leaves open accuracy of prior sample-size calculations.
We use the term "repeated measures (mixed) ANOVA" to describe a study design with one independent measure and one repeated measure (e.g., two independent groups measured at two time points).GPower uses the term "ANOVA: Repeated measures" for this type of design.4 Kohl and coauthors (including me-RTT) were unaware of this default option in GPower.I was only led to become aware of this issue when reading the fMRI-nf review and noticing a surprising amount of statistical power. 5Kieslich (2020) provides a detailed explanation of how GPower calculates f for the different options for repeated measures (mixed) ANOVAs.The GPower team informed us that Cohen proposed Cohen's f for between-subjects designs and that this is how GPower defines f when using the default option, regardless of the ANOVA design the user selects. 6We performed our calculations in R.They are all available in our open code.We reproduce Table 3 from Tursic et al. and Table 5 from Kohl et al. using the sample sizes and statistical tests which each review provides in their supplementary material (i.e., we did not re-extract this information from the original studies or check if the statistical tests in the original studies were appropriate).The WebPower package we used assumes a correlation of 0.7 for repeated measures for ANOVAs, which is slightly more conservative than the 0.8 correlation used in the reviews.
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Thibault et al. (2022) studied Neurofeedback. Statistical power calculations using GPower vs R was evaluated. Re-calculating statistical power for repeated measures ANOVAs in neurofeedback research using R with a 0.7 correlation assumption highlighted issues with GPower's default effect size calculations.
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