se.mean.ps: Computes the standard error for a paired-samples mean...

In dgbonett/vcmeta: Varying Coefficient Meta-Analysis

Computes the standard error for a paired-samples mean difference

Description

This function computes the standard error of a paired-samples mean difference using the estimated means, estimated standard deviations, estimated Pearson correlation, and sample size. The effect size estimate and 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 compatible mean differences from a combination of 2-group and paired-samples experiments are used in the meta-analysis. Equality of variances is not assumed.

Usage

se.mean.ps(m1, m2, sd1, sd2, cor, n)

Arguments

m1	estimated mean for measurement 1
m2	estimated mean for measurement 2
sd1	estimated standard deviation for measurement 1
sd2	estimated standard deviation for measurement 2
cor	estimated correlation for measurements 1 and 2
n	sample size

Value

Returns a one-row matrix:

• Estimate - estimated mean difference

• SE - standard error

References

\insertRef

Snedecor1980vcmeta

Examples

se.mean.ps(23.9, 25.1, 1.76, 2.01, .78, 25)

# Should return:
#                   Estimate        SE
# Mean difference:      -1.2 0.2544833

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