pes: p-value to Effect Size
Description
One or two tailed p-value from independent groups 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
pes(p, n.1, n.2, tail = "two")
Arguments
n.1
Sample size of treatment group.
n.2
Sample size of comparison group.
tail
One or two-tailed p-value. Default is 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.