Computes the standard error for a Spearman correlation

Source: R/meta_se.R

This function computes the Bonett-Wright standard error of a Spearman correlation using the estimated correlation and sample size. The standard error from this function can be used as input in the meta.ave.cor.gen function in applications where a combination of different types of correlations are used in the meta-analysis.

se.spear(cor, n)

Arguments

cor

estimated Spearman correlation

n

sample size

Value

Returns a one-row matrix:

  • Estimate - Spearman correlation (from input)

  • SE - standard error

References

Bonett DG, Wright TA (2000). “Sample size requirements for estimating Pearson, Kendall and Spearman correlations.” Psychometrika, 65(1), 23--28. ISSN 0033-3123, doi:10.1007/BF02294183 .

Examples

se.spear(.40, 55)
#>                        Estimate        SE
#> Spearman correlation:       0.4 0.1210569

# Should return: 
#                       Estimate        SE
# Spearman correlation:      0.4 0.1210569