2016
DOI: 10.1101/073999
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Calculation of a distribution free estimate of effect size and confidence intervals using VBA/Excel

Abstract: Reporting effect sizes aids the transparent presentation and independent interpretation of scientific data. However, calculation and reporting of effect sizes for data obtained in basic research is rare. A standardized effect size was reported by Norman Cliff, known as Cliff's delta. It has several advantageous features, as (i) it makes no assumption on the shape of the underlying distribution, (ii) it works well for small to moderate samples (n>10), (iii) it is easy to calculate, and (iv) its basis is readily… Show more

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Cited by 10 publications
(13 citation statements)
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“…A priori, we decided to report effect sizes, due to concerns about null-hypothesis significance testing in small sample sizes and because p values do not indicate the magnitude of any reported effects [31][32][33]. Cliff's delta was chosen as it has no assumptions on the underlying distribution and performs well for small sample sizes (n>10; (45)). Cliff's delta and associated 95% confidence intervals were calculated using an available Excel macro (45).…”
Section: Each Participant Was Tested Individually Over the Course Of ...mentioning
confidence: 99%
“…A priori, we decided to report effect sizes, due to concerns about null-hypothesis significance testing in small sample sizes and because p values do not indicate the magnitude of any reported effects [31][32][33]. Cliff's delta was chosen as it has no assumptions on the underlying distribution and performs well for small sample sizes (n>10; (45)). Cliff's delta and associated 95% confidence intervals were calculated using an available Excel macro (45).…”
Section: Each Participant Was Tested Individually Over the Course Of ...mentioning
confidence: 99%
“…Thus, a lack of user-friendly tools for the calculation and presentation of effect sizes hinders the wide adoption of effect sizes for the quantitative comparison of data. Recently, easy-to-use tools for calculation of relative effect size (Goedhart, 2016) and absolute effect sizes have been reported (Ho et al, 2018) and these tools are important for wide adoption of effect sizes. We have previously reported a web tool, PlotsOfData, for visualizing the actual data with summary statistics (Postma and Goedhart, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…Delta Cliff was used to evaluate the effect size for non-parametric variables (MTPs) using a VBA/Excel calculator, considering 0.43 large, around 0.28 moderate and less than 0.11 small (Goedhart, 2016). Table 2 shows the number of MTPs for each muscle in each evaluation and the percentage change in the number of MTPs between evaluations.…”
mentioning
confidence: 99%