Compares and combines G-index of agreement in original and follow-up studies
Source:R/meta_rep.R
replicate.agree.Rd
This function computes adjusted Wald confidence intervals from an original study and a follow-up study where the effect size is a G-index of agreement. Adjusted Wald confidence intervals for the difference and average effect size are also computed. The confidence level for the difference is 1 – 2*alpha, which is recommended for equivalence testing. As a measurement of agreement, the G-index is usually preferred to Cohen's kappa.
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 G-indicies
Row 4 estimates the average G-index
The columns are:
Estimate - MLE of G-index (single study, difference, average)
SE - standard error of adjusted estimate
LL - lower limit of the adjusted confidence interval
UL - upper limit of the adjusted confidence interval
References
Bonett DG (2022). “Statistical inference for G-indices of agreement.” Journal of Educational and Behavioral Statistics, 47(4), 438–458. doi:10.3102/10769986221088561 .
Examples
replicate.agree(.05, 85, 100, 160, 200, 2)
#> Estimate SE LL UL
#> Original: 0.70 0.07252105 0.53093828 0.8152156
#> Follow-up: 0.60 0.05661961 0.47726289 0.6992077
#> Original - Follow-up: 0.10 0.09159681 -0.05844824 0.2428784
#> Average: 0.65 0.04579840 0.55040374 0.7299302
# Should return:
# Estimate SE LL UL
# Original: 0.70 0.07252105 0.53093828 0.8152156
# Follow-up: 0.60 0.05661961 0.47726289 0.6992077
# Original - Follow-up: 0.10 0.09159681 -0.05844824 0.2428784
# Average: 0.65 0.04579840 0.55040374 0.7299302