Computes the standard error for Cohen's d

Source: R/meta_se.R

This function computes the standard error of Cohen's d using only the two sample sizes and an estimate of Cohen's d. Cohen's d and its standard error assume equal variances. The estimate of Cohen's d, with the standard error output from this function, can be used as input in the meta.ave.gen, meta.lc.gen, and meta.lm.gen functions in applications where different types of compatible standardized mean differences are used in the meta-analysis.

se.cohen(d, n1, n2)

Arguments

d

estimated Cohen's d

n1

sample size for group 1

n2

sample size for group 2

Value

Returns a one-row matrix:

  • Estimate - Cohen's d (from input)

  • SE - standard error

See also

se.stdmean2

Examples

se.cohen(.78, 35, 50)
#>             Estimate        SE
#> Cohen's d:      0.78 0.2288236

# Should return: 
#            Estimate        SE
# Cohen's d:     0.78 0.2288236