stuart.maxwell.mh {irr}R Documentation

Stuart-Maxwell coefficient of concordance for two raters

Description

Calculates the Stuart-Maxwell coefficient of concordance for two raters.

Usage

stuart.maxwell.mh(x)

Arguments

x c x c classification matrix or matrix of classification scores into c categories.

Details

stuart.maxwell.mh calculates a reliability coefficient for two raters classifying n objects into any number of categories. It will accept either a c x c classification matrix of counts of objects falling into c categories or a c x n or n x c matrix of classification scores.

Value

A list with class "irrlist" containing the following components:

$method a character string describing the method.
$subjects the number of data objects.
$raters the number of raters.
$irr.name the name of the coefficient (Chisq).
$value the value of the coefficient.
$stat.name the name and df of the test statistic.
$statistic the value of the test statistic.
$p.value the probability of the test statistic.

Author(s)

Jim Lemon

References

Stuart A.A. (1955) A test for homogeneity of the marginal distributions in a two-way classification. Biometrika, 42, 412-416.

Maxwell A.E. (1970) Comparing the classification of subjects by two independent judges. British Journal of Psychiatry, 116, 651-655.

See Also

bhapkar, rater.bias

Examples

 # fake a 2xn matrix of three way classification scores
 ratings<-matrix(sample(1:3,60,TRUE), nrow=2)
 stuart.maxwell.mh(ratings)
 
 # Example used from Stuart (1955)
 data(vision)
 stuart.maxwell.mh(vision)

[Package irr version 0.70 Index]