var_error_r | R Documentation |
Estimates the error variance of Pearson correlations (r).
var_error_r(r, n, correct_bias = TRUE)
r |
Vector of correlations. |
n |
Vector of sample sizes. |
correct_bias |
Logical argument that determines whether to correct error-variance estimates for small-sample bias in correlations (TRUE) or not (FALSE). |
The sampling variance of a Pearson correlation is approximately:
var_e = (1 - r^2)^2 / (n - 1)
This can be corrected for bias in the sample correlation by first correcting the correlation (see correct_r_bias()
) prior to estimating the error variance.
A vector of sampling-error variances.
Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Sage. doi: 10.4135/9781483398105. p. 99.
var_error_r(r = .3, n = 30, correct_bias = TRUE) var_error_r(r = .3, n = 30, correct_bias = FALSE)
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