N.cohen.kappa: Sample Size Calculation for Cohen's Kappa Statistic

In irr: Various Coefficients of Interrater Reliability and Agreement

Description

This function is a sample size estimator for the Cohen's Kappa statistic for a binary outcome. Note that any value of "kappa under null" in the interval [0,1] is acceptable (i.e. k0=0 is a valid null hypothesis).

Usage

 N.cohen.kappa(rate1, rate2, k1, k0, alpha=0.05, 
               power=0.8, twosided=FALSE)

Arguments

rate1	the probability that the first rater will record a positive diagnosis
rate2	the probability that the second rater will record a positive diagnosis
k1	the true Cohen's Kappa statistic
k0	the value of kappa under the null hypothesis
alpha	type I error of test
power	the desired power to detect the difference between true kappa and hypothetical kappa
twosided	TRUE if test is two-sided

Value

returns required sample size

Author(s)

Ian Fellows

References

Cantor, A. B. (1996) Sample-size calculation for Cohen's kappa. Psychological Methods, 1, 150-153.

See Also

kappa2

Examples

  # Testing H0: kappa = 0.7 vs. HA: kappa > 0.7 given that
  # kappa = 0.85 and both raters classify 50% of subjects as positive.
  N.cohen.kappa(0.5, 0.5, 0.7, 0.85)

Example output

Loading required package: lpSolve
[1] 96

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