Converts d (mean difference) reported in primary study to r (correlation coefficient) where sample size of the treatment group is not equal to the sample size of the comparison group (see section 12.5.4, Borenstein, 2009; pp. 234).
r_from_d1(d, n.1, n.2, var.d)
Computes a correlation coefficient (r).
Mean difference statistic (d) reported in primary study.
sample size of group one reported in primary study.
sample size of group two reported in primary study.
variance of d reported in primary study.
AC Del Re & William T. Hoyt
Maintainer: AC Del Re acdelre@gmail.com
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.
d_to_g
,
mean_to_d
,
mean_to_d2
,
t_to_d
,
f_to_d
,
p_to_d1
,
p_to_d2
,
ancova_to_d1
,
ancova_to_d2
,
tt.ancova_to_d
,
f.ancova_to_d
,
r_to_d
,
p.ancova_to_d1
,
p.ancova_to_d2
,
lor_to_d
,
prop_to_or
,
prop_to_d
,
r_from_chi
,
r_from_d
,
r_from_t