hhentschke/measures-of-effect-size-toolbox

Computes diverse effect size statistics including confidence intervals

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Updated 26 Apr 2018

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The Measures of Effect Size (MES) Toolbox is a set of functions which compute a wide range of effect size statistics. The four main toolbox functions cover common analysis designs, including two-sample-, oneway- and twoway- data sets as well as categorical data (tables). Data may be repeated-measures (within-subjects).
MES for contrasts can be computed. Confidence intervals are generated for the large majority of MES, either via bootstrapping or by analytical computation, in part via noncentral t, Chi square or F distributions.
Effect size statistics are complemented by t/Chi square/F statistics and/or full ANOVA tables, which are also provided as output variables.
The toolbox was developed by Harald Hentschke (University of Tübingen) and Maik Stüttgen (University of Bochum) and is accompanied by a paper (Hentschke and Stüttgen, Eur J Neurosci 34:1887-1894, 2011).
Among the ESM available are:
Hedges’ g
Glass’ delta
requivalent (point-biserial correlation)
common language effect size
Cohen’s U1
Cohen’s U3
receiver-operating characteristic
right/left tail ratio
rank-biserial correlation
standardized mean differences for contrasts
eta squared
partial eta squared
omega squared
partial omega squared
risk difference
risk ratio
odds ratio
phi
sensitivity
specificity
positive predictive value
negative predictive value
binomial effect size display
Cramer’s V

For more details please see the documentation.

Cite As

Harald Hentschke (2023). hhentschke/measures-of-effect-size-toolbox (https://github.com/hhentschke/measures-of-effect-size-toolbox), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2007b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.6.0.0

Ported code to GitHub (to allow for better collaboration on the code) and set up link from GitHub. Changed variable name 'table' in mes1way and mes2way to 'summaryTable'.

1.5.0.0

- mixed within/between analyses are now possible with unequal sample sizes along the between-subjects factor
- minor edits of comments in code and documentation

See VersionHistory_MESToolbox.pdf for details

1.4.0.0

- mixed within/between analyses are now possible with unequal sample sizes along the between-subjects factor
- minor edits of comments in code and documentation
See VersionHistory_MESToolbox.pdf for details

1.3.0.0

- implementation of exact confidence intervals for g1
- option to plot data in twoway analysis
- enhancement & correction of documentation

See VersionHistory_MESToolbox.pdf for details.

1.2.0.0

- added unstandardized MES (mean difference & contrasts)
- enhanced documentation accordingly
- bug fix in mes1way
- streamlined computation of t statistics in mes1way

The changes are explained in more detail in VersionHistory_MESToolbox.pdf

1.1.0.0

- some bug fixes
- additions to the documentation
- added example data (which were missing in the previous version, sorry)

Details are listed in VersionHistory.pdf

1.0.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.