conger.kappa.raw: Conger's kappa coefficient

In raredd/ragree: Rater agreement

Description

Computes Conger's kappa 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

conger.kappa.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

Conger, A. J. (1980), "Integration and Generalization of Kappas for Multiple Raters," Psychological Bulletin, 88, 322-328.

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