hhentschke/measures-of-effect-size-toolbox
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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 (2024). hhentschke/measures-of-effect-size-toolbox (https://github.com/hhentschke/measures-of-effect-size-toolbox), GitHub. Retrieved .
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- AI and Statistics > Statistics and Machine Learning Toolbox > Hypothesis Tests >
- AI and Statistics > Statistics and Machine Learning Toolbox > ANOVA >
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Versions that use the GitHub default branch cannot be downloaded
Version | Published | Release Notes | |
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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'. |
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1.5.0.0 | - mixed within/between analyses are now possible with unequal sample sizes along the between-subjects factor
See VersionHistory_MESToolbox.pdf for details |
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1.4.0.0 | - mixed within/between analyses are now possible with unequal sample sizes along the between-subjects factor
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1.3.0.0 | - implementation of exact confidence intervals for g1
See VersionHistory_MESToolbox.pdf for details. |
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1.2.0.0 | - added unstandardized MES (mean difference & contrasts)
The changes are explained in more detail in VersionHistory_MESToolbox.pdf |
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1.1.0.0 | - some bug fixes
Details are listed in VersionHistory.pdf |
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1.0.0.0 |