R/meta_rep.R
replicate.gen.Rd
This function can be used to compare and combine any effect size using the effect size estimate and its standard error from the original study and the follow-up study. The confidence level for the difference is 1 – 2*alpha, which is recommended for equivalence testing.
replicate.gen(alpha, est1, se1, est2, se2)
alpha level for 1-alpha confidence
estimated effect size in original study
effect size standard error in original study
estimated effect size in follow-up study
effect size standard error in follow-up study
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 effect sizes
Row 4 estimates the average effect size
Columns are:
Estimate - effect size 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
Bonett DG (2021). “Design and analysis of replication studies.” Organizational Research Methods, 24(3), 513--529. ISSN 1094-4281, doi:10.1177/1094428120911088 .
replicate.gen(.05, .782, .210, .650, .154)
#> Estimate SE z p LL
#> Original: 0.782 0.2100000 3.7238095 1.962390e-04 0.3704076
#> Follow-up: 0.650 0.1540000 4.2207792 2.434593e-05 0.3481655
#> Original - Follow-up: 0.132 0.2604151 0.5068831 6.122368e-01 -0.2963446
#> Average: 0.716 0.1302075 5.4989141 3.821373e-08 0.4607979
#> UL
#> Original: 1.1935924
#> Follow-up: 0.9518345
#> Original - Follow-up: 0.5603446
#> Average: 0.9712021
# Should return:
# Estimate SE z p LL UL
# Original: 0.782 0.2100000 3.7238095 1.962390e-04 0.3704076 1.1935924
# Follow-up: 0.650 0.1540000 4.2207792 2.434593e-05 0.3481655 0.9518345
# Original - Follow-up: 0.132 0.2604151 0.5068831 6.122368e-01 -0.2963446 0.5603446
# Average: 0.716 0.1302075 5.4989141 3.821373e-08 0.4607979 0.9712021