var_pop | R Documentation |
Function for estimating the population variance of correlated outcomes' effect size within a primary study.
var_pop(v, r)
v |
A numerical value specifying the sampling variance of the effect size (see Details) |
r |
A numerical value specifying the Pearson correlation coefficient between the outcomes (see Details) |
This function estimates the population variance of the effect size of
correlated outcomes within a study. That is, it estimates the population
variance from a single draw of a multivariate normal distribution. The function
assumes equal true effect size of all outcomes, equal sampling variances of
the outcomes' effect size, and equal correlation (i.e., r
) among the
outcomes.
For a derivation of this estimator 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.
The var_pop
function returns a numerical value that is the
estimate of the population variance of correlated outcomes' effect size
given v and r.
Robbie C.M. van Aert R.C.M.vanAert@tilburguniversity.edu
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.
### Compute variance for an artificial example
var_pop(v = 0.1, r = 0.3)
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