2020
DOI: 10.1080/02640414.2020.1776002
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Power, precision, and sample size estimation in sport and exercise science research

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Cited by 136 publications
(139 citation statements)
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“…As Ploutz-Snyder et al (2014, p. 1251 suggest, in "scientifically amazing settings, " we may need to challenge the precept that only "big-n" studies are worthwhile. As such, when considering athletes in the highest echelons of expertise, it may be necessary to appraise our criteria of statistical significance, power, effect size metrics, and "acceptable" levels of tolerances for type I and II error rates (Bacchetti, 2010;Bacchetti et al, 2011;Abt et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…As Ploutz-Snyder et al (2014, p. 1251 suggest, in "scientifically amazing settings, " we may need to challenge the precept that only "big-n" studies are worthwhile. As such, when considering athletes in the highest echelons of expertise, it may be necessary to appraise our criteria of statistical significance, power, effect size metrics, and "acceptable" levels of tolerances for type I and II error rates (Bacchetti, 2010;Bacchetti et al, 2011;Abt et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…not), rather than critical interpretation of data is likely a contributing factor to the poor reproducibility rate of scientific findings (Open Science Collaboration, 2015). These recommendations therefore add to growing calls to improve practices in the field (Abt et al., 2020; Borg et al., 2020; Caldwell et al., 2020), but extend these commentaries to highlight the role of measurement error (and reliability) to aid in robust research design, and critical evaluation of data.…”
Section: Discussion and Practical Recommendationsmentioning
confidence: 88%
“…Factors associated with measurement error are associated with, but also independent of, the statistical significance of any study. Unfortunately, most research in human physiology and many other fields (likely) suffer from low statistical power (Abt et al., 2020; Button et al., 2013; Fraley & Vazire, 2014; Ioannidis, 2005), and – counter to many researchers’ intuitions – statistically significant effect sizes reported in underpowered research are highly variable, and wildly exaggerated when compared to the ‘true’ underlying effect (Gelman & Carlin, 2014; Loken & Gelman, 2017; Vul, Harris, Winkielman, & Pashler, 2009). When these observed effects are interpreted as an accurate representation of the ‘true’ effect, we may unintentionally misrepresent the strength of evidence for a given phenomenon, and lead future research down a path destined to fail.…”
Section: Discussion and Practical Recommendationsmentioning
confidence: 99%
“…In addition, it is tempting to speculate that post-activation potentiation is more affected in type I muscle fibers by the intake of New Zealand blackcurrant. Future work on the effects of anthocyanin-rich supplements on muscle fiber-specific functional effects with adequate power [ 37 ] is warranted. In the present study, the post-hoc computed achieved power for the first quartile iMVC force values for the group was 0.31 and 0.86 for participants with fiber type II predominant typology.…”
Section: Discussionmentioning
confidence: 99%