bhapkar: Bhapkar coefficient of concordance between raters

In irr: Various Coefficients of Interrater Reliability and Agreement

Description

Calculates the Bhapkar coefficient of concordance for two raters.

Usage

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.

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)

Matthias Gamer

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.

See Also

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

Examples

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

Example output

Loading required package: lpSolve
 Bhapkar marginal homogeneity

 Subjects = 7477 
   Raters = 2 
    Chisq = 12 

 Chisq(3) = 12 
  p-value = 0.00747 

irr documentation built on May 2, 2019, 8:50 a.m.