se.pbcor: Computes the standard error for a point-biserial correlation

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a point-biserial correlation

Description

This function computes a point-biserial correlation and its standard error for two types of point-biserial correlations in 2-group designs using the estimated means, estimated standard deviations, and samples sizes. Equality of variances is not assumed. One type of point-biserial correlation uses an unweighted average of variances and is recommended for 2-group experimental designs. The other type of point-biserial correlation uses a weighted average of variances and is recommended for 2-group nonexperimental designs with simple random sampling (but not stratified random sampling). This function is useful in a meta-analysis of compatible point-biserial correlations where some studies used a 2-group experimental design and other studies used a 2-group nonexperimental design. The effect size estimate and standard error output from this function can be used as input in the meta.ave.cor.gen function.

Usage

se.pbcor(m1, m2, sd1, sd2, n1, n2, type)

Arguments

m1	estimated mean for group 1
m2	estimated mean for group 2
sd1	estimated standard deviation for group 1
sd2	estimated standard deviation for group 2
n1	sample size for group 1
n2	sample size for group 2
type	set to 1 for weighted variance average set to 2 for unweighted variance average

Value

Returns a one-row matrix:

• Estimate - estimated point-biserial correlation

• SE - standard error

References

\insertRef

Bonett2020bvcmeta

Examples

se.pbcor(21.9, 16.1, 3.82, 3.21, 40, 40, 1)

#  Should return: 
#                                Estimate         SE
#  Point-biserial correlation:  0.6349786 0.05981325

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