| var_dif_fis {puniform} | R Documentation |
var_dif_fis
Description
Function for computing the variance of the difference between two overlapping Fisher-z transformed correlation coefficients.
Usage
var_dif_fis(n, r, rho)
Arguments
n |
A numerical value specifying the total sample size of a primary study |
r |
A numerical value specifying the Pearson correlation coefficient between variables h and m (see Details) |
rho |
A numerical value specifying the Pearson correlation coefficient between variables l and h and variables h and m (see Details) |
Details
In case of three variables (l, h, and m), overlapping Fisher-z transformed correlation coefficients can be computed between variables l and h and variables l and m. The function computes the variance of the difference between these two overlapping Fisher-z transformed correlations. For a derivation of this variance see van Aert & Wicherts (2023).
The variance that is computed with this function can be used to correct for outcome reporting bias by including the variance as a moderator in a (multivariate) meta-analysis. Please see van Aert & Wicherts (2023) for more information.
Value
The var_dif_fis function returns a numerical value that is the
variance of the difference of two overlapping Fisher-z transformed correlations
given n, r, and rho.
Author(s)
Robbie C.M. van Aert R.C.M.vanAert@tilburguniversity.edu
References
van Aert, R.C.M. & Wicherts, J.M. (2023). Correcting for outcome reporting bias in a meta-analysis: A meta-regression approach. Behavior Research Methods.
Examples
### Compute variance for an artificial example
var_dif_fis(n = 100, r = 0.3, rho = 0.5)