Converts F-test value 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
fes(f, n.1, n.2)
Arguments
f
F-value reported in primary study.
n.1
Sample size of treatment group.
n.2
Sample size of comparison group.
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.