| ci.agree2 {statpsych} | R Documentation |
Confidence interval for G-index difference in a 2-group design
Description
Computes adjusted Wald confidence intervals for the G-index of agreement within each group and the difference of G-indices.
Usage
ci.agree2(alpha, n1, f1, n2, f2, r)
Arguments
alpha |
alpha level for simultaneous 1-alpha confidence |
n1 |
sample size (objects) in group 1 |
f1 |
number of objects rated in agreement in group 1 |
n2 |
sample size (objects) in group 2 |
f2 |
number of objects rated in agreement in group 2 |
r |
number of rating categories |
Value
Returns a 3-row matrix. The rows are:
Row 1: G-index for group 1
Row 2: G-index for group 2
Row 3: G-index difference
The columns are:
Estimate - maximum likelihood estimate of G-index and difference
SE - standard error
LL - lower limit of adjusted Wald confidence interval
UL - upper limit of adjusted Wald 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
ci.agree2(.05, 75, 70, 60, 45, 2)
# Should return:
# Estimate SE LL UL
# G1 0.8666667 0.02880329 0.6974555 0.9481141
# G2 0.5000000 0.05590170 0.2523379 0.6851621
# G1 - G2 0.3666667 0.06288585 0.1117076 0.6088621