bhapkar function

Bhapkar coefficient of concordance between raters

Calculates the Bhapkar coefficient of concordance for two raters.

bhapkar(ratings)

Arguments

• ratings: n*2 matrix or dataframe, n subjects 2 raters.

Details

Missing data are omitted in a listwise way. The Bhapkar (1966) test is a more powerful alternative to the Stuart-Maxwell test. Both tests are asymptotically equivalent and will produce comparable chi-squared values when applied a large sample of rated objects.

Returns

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.

References

Bhapkar, V.P. (1966). A note on the equivalence of two test criteria for hypotheses in categorical data. Journal of the American Statistical Association, 61, 228-235.

Author(s)

Matthias Gamer

See Also

mcnemar.test, stuart.maxwell.mh, rater.bias

Examples

data(vision)
bhapkar(vision) # Original example used from Bhapkar (1966)