KrippAlpha | R Documentation |
Calculate the alpha coefficient of reliability proposed by Krippendorff.
KrippAlpha(x, method=c("nominal", "ordinal", "interval", "ratio"))
x |
classifier x object matrix of classifications or scores |
method |
data level of x |
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") |
Krippendorff's alpha coefficient is particularly useful where the level of measurement of classification data is higher than nominal or ordinal. https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-016-0200-9
This function was previously published as kripp.alpha()
in the irr package and has been
integrated here without logical changes, but with some adaptations in the result structure.
Jim Lemon <jim@bitwrit.com.au>
Krippendorff, K. (1980) Content analysis: An introduction to its methodology. Beverly Hills, CA: Sage.
CronbachAlpha
, KappaM
, CohenKappa
# 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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