se.semipartial: Computes the standard error for a semipartial correlation

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a semipartial correlation

Description

This function computes the standard error of a semipartial correlation using the estimated correlation, sample size, and squared multiple correlation for the full model. The full model includes the independent variable of interest and all control variables. The effect size estimate and standard error output 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.

Usage

se.semipartial(cor, r2, n)

Arguments

cor	estimated semipartial correlation
r2	estimated squared multiple correlation for a model that includes the IV and all control variables
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

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