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SIZEFX: Stata module to compute effect size correlations

Author

Listed:
  • Matthew Openshaw

Programming Language

Stata

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.

Suggested Citation

  • Matthew Openshaw, 2006. "SIZEFX: Stata module to compute effect size correlations," Statistical Software Components S456738, Boston College Department of Economics, revised 02 Apr 2010.
  • Handle: RePEc:boc:bocode:s456738
    Note: This module should be installed from within Stata by typing "ssc install sizefx". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/s/sizefx.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/sizefx.hlp
    File Function: help file
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/s/sizefx.hlp
    File Function: sample data file
    Download Restriction: no
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