gwet.ac1.raw: Gwet's AC1/AC2 coefficient

In raredd/ragree: Rater agreement

Description

Computes Gwet's AC1/AC2 coefficient and standard error for multiple raters when data is an n x r matrix of alphanumeric ratings from n subjects and r raters, excluding all subjects that are not rated by any rater.

Usage

gwet.ac1.raw(ratings, weights = "unweighted", conflev = 0.95,
  N = Inf, print = TRUE)

Arguments

ratings	an n x r matrix of raw alphanumeric ratings from n subjects and r raters
weights	optional weighting; see details
conflev	confidence level
N	used as denominator in finite population correction
print	logical; if TRUE, prints a summary of the agreement

Details

weight is an option matrix of weights or one of "quadratic", "linear", "ordinal", "radical", "ratio", "circular", "bipolar", or "unweighted" for an identity matrix.

Author(s)

Kilem L. Gwet

References

Gwet, K. L. (2008). "Computing inter-rater reliability and its variance in the presence of high agreement." British Journal of Mathematical and Statistical Psychology, 61, 29 - 48.

raredd/ragree documentation built on March 25, 2021, 1:42 p.m.