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scripts default iconMeasures of Effect Size Toolbox (Scripts) Publisher's description

The Measures of Effect Size (MES) Toolbox is a set of functions which compute a wide range of effect size statistics.

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 TГјbingen) and Maik StГјttgen (University of Bochum)

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
positive predictive value
negative predictive value
binomial effect size display
Cramer’s V

For more details please see the documentation

System Requirements:

MATLAB 7.5 (R2007b)
Program Release Status: New Release
Program Install Support: Install and Uninstall

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