bioRxivPreprint
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 understood by non statisticians. Here, a VBA macro, implemented in Excel, is presented. The macro takes two independent samples as input and calculates Cliff's delta with 95% confidence intervals. The macro will reduce the barrier for calculating the effect size and can be a valuable tool for research and teaching.
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- PlotsOfDifferences - a web app for the quantitative comparison of unpaired data
J. Goedhart·bioRxiv·Mar 17, 2019
- Durga: An R package for effect size estimation and visualisation
M. K. KHAN, D. J. McLean·bioRxiv·Feb 6, 2023
- Combating the scientific decline effect with confidence (intervals)
David M Groppe·bioRxiv·Dec 10, 2015
- Optimal sample size calculation for null hypothesis significance tests
J. Mudge, J. Houlahan·bioRxiv·Feb 4, 2019
- An effect size distribution analysis of heart rate variability studies: Recommendations for reporting the magnitude of group differences
Daniel S Quintana·bioRxiv·Aug 31, 2016
- Determining the Statistical Significance of the Difference Between Arbitrary Curves: A Spreadsheet Method
Kalina A. Hristova, William C. Wimley·PLoS ONEPeer-reviewed·Oct 31, 2023