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KrippAlpha: Krippendorff's Alpha Reliability Coefficient

Description

Calculate the alpha coefficient of reliability proposed by Krippendorff.

Usage

KrippAlpha(x, method=c("nominal", "ordinal", "interval", "ratio"))

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

a character string specifying the name of the coefficient.

value

value of alpha.

stat.name

here "nil" as there is no test statistic.

statistic

the value of the test statistic (NULL).

p.value

the probability of the test statistic (NULL).

cm

the concordance/discordance matrix used in the calculation of alpha

data.values

a character vector of the unique data values

levx

the unique values of the ratings

nmatchval

the count of matches, used in calculation

data.level

the data level of the ratings ("nominal","ordinal", "interval","ratio")

Arguments

x

classifier x object matrix of classifications or scores

method

data level of x

Author

Jim Lemon <jim@bitwrit.com.au>

References

Krippendorff, K. (1980) Content analysis: An introduction to its methodology. Beverly Hills, CA: Sage.

See Also

CronbachAlpha, KappaM, CohenKappa

Examples

Run this code
# the "C" data from Krippendorff
 nmm <- matrix(c(1,1,NA,1,2,2,3,2,3,3,3,3,3,3,3,3,2,2,2,2,1,2,3,4,4,4,4,4,
                 1,1,2,1,2,2,2,2,NA,5,5,5,NA,NA,1,1,NA,NA,3,NA), nrow=4)
 
 # first assume the default nominal classification
 KrippAlpha(nmm)
 
 # now use the same data with the other three methods
 KrippAlpha(nmm, "ordinal")
 KrippAlpha(nmm, "interval")
 KrippAlpha(nmm, "ratio") 

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