es_from_fisher_z {metaConvert} | R Documentation |
Convert a Fisher's z (r-to-z transformation) to several effect size measures
Description
Convert a Fisher's z (r-to-z transformation) to several effect size measures
Usage
es_from_fisher_z(
fisher_z,
n_sample,
unit_type = "raw_scale",
n_exp,
n_nexp,
cor_to_smd = "viechtbauer",
sd_iv,
unit_increase_iv,
reverse_fisher_z
)
Arguments
fisher_z |
a Fisher's r-to-z transformed correlation coefficient |
n_sample |
the total number of participants |
unit_type |
the type of unit for the |
n_exp |
number of the experimental/exposed group |
n_nexp |
number of the non-experimental/non-exposed group |
cor_to_smd |
formula used to convert a |
sd_iv |
the standard deviation of the independent variable |
unit_increase_iv |
a value of the independent variable that will be used to estimate the Cohen's d (see details). |
reverse_fisher_z |
a logical value indicating whether the direction of the generated effect sizes should be flipped. |
Details
This function converts estimates the standard error of the Fisher's z and performs the z-to-r Fisher's transformation.
Last, it converts this r value into a Cohen's d and OR (see details in es_from_pearson_r()
).
Value
This function estimates and converts between several effect size measures.
natural effect size measure | R + Z |
converted effect size measure | D + G + OR |
required input data | See 'Section 4. Pearson's r or Fisher's z' |
https://metaconvert.org/html/input.html | |
References
Cooper, H., Hedges, L.V., & Valentine, J.C. (Eds.). (2019). The handbook of research synthesis and meta-analysis. Russell Sage Foundation.
Mathur, M. B., & VanderWeele, T. J. (2020). A Simple, Interpretable Conversion from Pearson's Correlation to Cohen's for d Continuous Exposures. Epidemiology (Cambridge, Mass.), 31(2), e16–e18. https://doi.org/10.1097/EDE.0000000000001105
Viechtbauer W (2010). “Conducting meta-analyses in R with the metafor package.” Journal of Statistical Software, 36(3), 1–48. doi:10.18637/jss.v036.i03.
Examples
es_from_fisher_z(
fisher_z = .21, n_sample = 44,
)