Converts d (mean difference) to an effect size of 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
d_to_es(d, n.1, n.2)
Arguments
d
Mean difference statistic (d).
n.1
Sample size of group one.
n.2
Sample size of group one.
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.