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:
References
Snedecor GW, Cochran WG (1980).
Statistical methods, 7th edition.
ISU University Pres, Ames, Iowa.
Examples
se.mean.ps(23.9, 25.1, 1.76, 2.01, .78, 25)
#> Estimate SE
#> Mean difference: -1.2 0.2544833
# Should return:
# Estimate SE
# Mean difference: -1.2 0.2544833