psychmeta (version 2.3.0)

adjust_n_r: Adjusted sample size for a non-Pearson correlation coefficient for use in a meta-analysis of Pearson correlations

Description

This function is used to compute the adjusted sample size of a non-Pearson correlation (e.g., a tetrachoric correlation) based on the correlation and its estimated error variance. This function allows users to adjust the sample size of a correlation corrected for sporadic artifacts (e.g., unequal splits of dichotomous variables, artificial dichotomization of continuous variables) prior to use in a meta-analysis.

Usage

adjust_n_r(r, var_e)

Arguments

r

Vector of correlations.

var_e

Vector of error variances.

Value

A vector of adjusted sample sizes.

Details

The adjusted sample size is computed as:

$$n_{adjusted}=\frac{(r^2-1{)}^2+va{r}_e}{va{r}_e}$$

References

Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Thousand Oaks, CA: SAGE. https://doi.org/10/b6mg. Equation 3.7.

Examples

# NOT RUN {
adjust_n_r(r = .3, var_e = .01)
# }