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BootES: an R package for bootstrap confidence intervals on effect sizes.

Kris N Kirby1, Daniel Gerlanc

  • 1Department of Psychology, Williams College, Williamstown, MA, 01267, USA, kris.n.kirby@williams.edu.

Behavior Research Methods
|March 23, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces Bootstrap Effect Sizes (bootES), a free R software package for calculating effect sizes and their bootstrap confidence intervals. It simplifies computing effect sizes for various research designs and correlations.

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Area of Science:

  • Psychological statistics
  • Statistical software development

Background:

  • Calculating effect sizes and confidence intervals is crucial for statistical analysis.
  • Existing methods for computing bootstrap confidence intervals for effect sizes are limited.
  • The R statistical environment is widely used in research.

Purpose of the Study:

  • To introduce Bootstrap Effect Sizes (bootES), a novel R package.
  • To provide a user-friendly tool for computing unstandardized and standardized effect sizes.
  • To enable the calculation of bootstrap confidence intervals for various effect sizes.

Main Methods:

  • The study details the functionality of the bootES package in R.
  • It illustrates the computation of effect sizes for factorial designs (between-subjects, within-subjects, mixed).
  • It demonstrates calculating bootstrap confidence intervals for correlations and differences between correlations.

Main Results:

  • The bootES package facilitates the computation of common effect sizes like Cohen's d, Hedges's g, and Pearson's r.
  • It offers accessible bootstrap confidence intervals for these effect sizes for the first time.
  • The package supports complex factorial designs and correlation analyses.

Conclusions:

  • Bootstrap Effect Sizes (bootES) enhances statistical analysis by providing accessible effect size and confidence interval calculations.
  • The R package simplifies complex statistical computations for researchers.
  • An introductory appendix enables users with no prior R experience to utilize bootES.