| replicate.cor.gen {vcmeta} | R Documentation |
Compares and combines any type of correlation in original and follow-up studies
Description
This function can be used to compare and combine any type of correlation from an original study and a follow-up study. The confidence level for the difference is 1 – 2*alpha, which is recommended for equivalence testing.
Usage
replicate.cor.gen(alpha, cor1, se1, cor2, se2)
Arguments
alpha |
alpha level for 1-alpha confidence |
cor1 |
estimated correlation in original study |
se1 |
standard error of correlation in original study |
cor2 |
estimated correlation in follow-up study |
se2 |
standard error of correlation in follow-up study |
Value
A 4-row matrix. The rows are:
Row 1 summarizes the original study
Row 2 summarizes the follow-up study
Row 3 estimates the difference in correlations
Row 4 estimates the average correlation
The columns are:
Estimate - correlation estimate (single study, difference, average)
SE - standard error
z - z-value
p - p-value
LL - lower limit of the confidence interval
UL - upper limit of the confidence interval
References
Bonett DG (2021). “Design and analysis of replication studies.” Organizational Research Methods, 24(3), 513–529. ISSN 1094-4281, doi:10.1177/1094428120911088.
Examples
replicate.cor.gen(.05, .454, .170, .318, .098)
# Should return:
# Estimate SE z p LL UL
# Original: 0.454 0.17000000 2.2869806 0.0221969560 0.06991214 0.7208577
# Follow-up: 0.318 0.09800000 3.0215123 0.0025151541 0.11522137 0.4953353
# Original - Follow-up: 0.136 0.19622436 0.6671281 0.5046902807 -0.21543667 0.4237240
# Average: 0.386 0.09811218 3.4089419 0.0006521538 0.19606750 0.5480170