Learn R Programming

compute.es (version 0.2.1)

mes: Means to Effect Size

Description

Converts raw mean scores to an effect size of $d$ (mean difference), $g$ (unbiased estimate of $d$), $r$ (correlation coefficient), $z'$ (Fisher's $z$), and log odds ratio. The variances of these estimates are also computed.

Usage

mes(m.1, m.2, sd.1, sd.2, n.1, n.2)

Arguments

m.1
Mean of group one.
m.2
Mean of group two.
sd.1
Standard deviation of group one.
sd.2
Standard deviation of group two.
n.1
Sample size of group one.
n.2
Sample size of group two.

Value

  • dStandardized mean difference ($d$).
  • var.dVariance of $d$.
  • gUnbiased estimate of $d$.
  • var.gVariance of $g$.
  • rCorrelation coefficient.
  • var.rVariance of $r$.
  • log.oddsLog odds ratio.
  • var.log.oddsVariance of log odds ratio.
  • nTotal sample size.

References

Borenstein (2009). Effect sizes for continuous data. In H. Cooper, L. V. Hedges, & J. C. Valentine (Eds.), The handbook of research synthesis and meta analysis (pp. 279-293). New York: Russell Sage Foundation.

See Also

mes2, a.mes, a.mes2