se.cohen: Computes the standard error for Cohen's d

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for Cohen's d

Description

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.

Usage

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)

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

dgbonett/vcmeta documentation built on July 12, 2024, 3:12 p.m.