irr (version 0.84)

stuart.maxwell.mh: 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.

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.

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.

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

Run this code
# NOT RUN {
 # 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)
# }

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