es_from_pt_bis_r {metaConvert} | R Documentation |
Convert a point-biserial correlation coefficient into several effect size measures
Description
Convert a point-biserial correlation coefficient into several effect size measures
Usage
es_from_pt_bis_r(
pt_bis_r,
n_exp,
n_nexp,
smd_to_cor = "viechtbauer",
reverse_pt_bis_r
)
Arguments
pt_bis_r |
value of a point-biserial correlation coefficient |
n_exp |
total number of participants in the exposed group |
n_nexp |
total number of participants in the non exposed group |
smd_to_cor |
formula used to convert the |
reverse_pt_bis_r |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
Details
This function uses a point-biserial correlation coefficient to estimate a Cohen's d (D) and Hedges' g (G). Odds ratio (OR) and correlation coefficients (R/Z) are then converted from the Cohen's d.
The formula used to obtain the Cohen's d are (Viechtbauer, 2021):
m = n\_exp + n\_nexp - 2
h = \frac{m}{n\_exp} + \frac{m}{n\_nexp}
d = \frac{pt\_bis\_r * \sqrt{h}}{\sqrt{1 - pt\_bis\_r^2}}
To estimate other effect size measures,
calculations of the es_from_cohen_d()
are applied.
Value
This function estimates and converts between several effect size measures.
natural effect size measure | D + G |
converted effect size measure | OR + R + Z |
required input data | See 'Section 11. ANOVA statistics, Student's t-test, or point-bis correlation' |
https://metaconvert.org/html/input.html | |
References
Vietchbauer (2021). Accessed at: https://stats.stackexchange.com/questions/526789/convert-correlation-r-to-cohens-d-unequal-groups-of-known-size
Examples
es_from_pt_bis_r(pt_bis_r = 0.2, n_exp = 121, n_nexp = 121)