se.semipartial {vcmeta}

Computes the standard error for a semipartial correlation

Description

This function can be used to compute the standard error of a semipartial correlation using the estimated correlation, sample size, and squared multiple correlation for the full model. The effect size estimate and standard error output from this function can be used as input in the meta.ave.gen function in applications where a combination of different types of correlations are used in the meta-analysis.

Usage

se.semipartial(cor, r2, n)

Arguments

cor

estimated semipartial correlation

r2

estimated squared multiple correlation for full model

n

sample size

Value

Returns a one-row matrix:

• Estimate - semipartial correlation (from input)

• SE - standard error

Examples

se.semipartial(.40, .25, 60)

# Should return: 
#                           Estimate        SE
# Semipartial correlation:       0.4 0.1063262