SIZEFX: Stata module to compute effect size correlations

Matthew Openshaw ()

Statistical Software Components from Boston College Department of Economics

Abstract: sizefx computes Cohen's d, Hedges' g, and effect size (ES) correlations (r) for the two variables specified in varlist. The two variables specified in varlist correspond to the variables in the command "ttest varname1 == varname2, unpaired unequal" although the "==" is not used for the sizefx command. The command displays Cohen's d statistic (Cohen 1988) using the pooled variance of the variables, Cohen's d using the t-statistic from the unpaired t-test assuming unequal variances, and Hedges' g statistic. The unpaired t-test is used to calculate effect size even when using a dependent sample or correlated designs (Dunlap et al. 1996). Additionally, effect size (ES) correlations (r) are displayed using Cohen's d, the t-statistic from the unpaired t-test, and the correlation using Hedges' g.

Language: Stata
Requires: Stata version 9.1
Keywords: effect size; Cohen's d; Hedges' g; correlations (search for similar items in EconPapers)
Date: 2006-06-16, Revised 2006-09-01
Note: This module may be installed from within Stata by typing "ssc install sizefx". Windows users should not attempt to download these files with a web browser.

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/s/sizefx.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/s/sizefx.hlp help file (text/plain)

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Persistent link: http://EconPapers.repec.org/RePEc:boc:bocode:s456738

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