var_error_u {psychmeta} | R Documentation |
Estimate the error variance of u
ratios
Description
Estimates the error variance of standard deviation (u
) ratios.
Usage
var_error_u(u, ni, na = NA, dependent_sds = FALSE)
Arguments
u |
Vector of |
ni |
Vector of incumbent-group sample sizes. |
na |
Vector of applicant-group sample sizes. |
dependent_sds |
Logical vector identifying whether each |
Details
The sampling variance of a u ratio is computed differently for independent samples (i.e., settings where the referent unrestricted standard deviation comes from an different sample than the range-restricted standard deviation) than for dependent samples (i.e., unrestricted samples from which a subset of individuals are selected to be in the incumbent sample).
The sampling variance for independent samples (the more common case) is:
var_{e}=\frac{u^{2}}{2}\left(\frac{1}{n_{i}-1}+\frac{1}{n_{a}-1}\right)
and the sampling variance for dependent samples is:
var_{e}=\frac{u^{2}}{2}\left(\frac{1}{n_{i}-1}-\frac{1}{n_{a}-1}\right)
where u
is the u ratio, n_{i}
is the incumbent sample size, and n_{a}
is the applicant sample size.
Value
A vector of sampling-error variances.
References
Dahlke, J. A., & Wiernik, B. M. (2020). Not restricted to selection research: Accounting for indirect range restriction in organizational research. Organizational Research Methods, 23(4), 717–749. doi:10.1177/1094428119859398
Examples
var_error_u(u = .8, ni = 100, na = 200)
var_error_u(u = .8, ni = 100, na = NA)