The outcomes are categorical
Each object is categorized by the same set of raters.
Can have more than two raters.
The categories used for each object is the same
\(\frac{P_o - P_e}{1-P_e}\)
\(p_{ij}\) = the observed probablities;
\(e_{ij}\) = the expected probablities ;
library("irr")
## Loading required package: lpSolve
data("diagnoses")
diagnoses
## rater1 rater2 rater3
## 1 4. Neurosis 4. Neurosis 4. Neurosis
## 2 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder
## 3 2. Personality Disorder 3. Schizophrenia 3. Schizophrenia
## 4 5. Other 5. Other 5. Other
## 5 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder
## 6 1. Depression 1. Depression 3. Schizophrenia
## 7 3. Schizophrenia 3. Schizophrenia 3. Schizophrenia
## 8 1. Depression 1. Depression 3. Schizophrenia
## 9 1. Depression 1. Depression 4. Neurosis
## 10 5. Other 5. Other 5. Other
## 11 1. Depression 4. Neurosis 4. Neurosis
## 12 1. Depression 2. Personality Disorder 4. Neurosis
## 13 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder
## 14 1. Depression 4. Neurosis 4. Neurosis
## 15 2. Personality Disorder 2. Personality Disorder 4. Neurosis
## 16 3. Schizophrenia 3. Schizophrenia 3. Schizophrenia
## 17 1. Depression 1. Depression 1. Depression
## 18 1. Depression 1. Depression 1. Depression
## 19 2. Personality Disorder 2. Personality Disorder 4. Neurosis
## 20 1. Depression 3. Schizophrenia 3. Schizophrenia
## 21 5. Other 5. Other 5. Other
## 22 2. Personality Disorder 4. Neurosis 4. Neurosis
## 23 2. Personality Disorder 2. Personality Disorder 4. Neurosis
## 24 1. Depression 1. Depression 4. Neurosis
## 25 1. Depression 4. Neurosis 4. Neurosis
## 26 2. Personality Disorder 2. Personality Disorder 2. Personality Disorder
## 27 1. Depression 1. Depression 1. Depression
## 28 2. Personality Disorder 2. Personality Disorder 4. Neurosis
## 29 1. Depression 3. Schizophrenia 3. Schizophrenia
## 30 5. Other 5. Other 5. Other
## rater4 rater5 rater6
## 1 4. Neurosis 4. Neurosis 4. Neurosis
## 2 5. Other 5. Other 5. Other
## 3 3. Schizophrenia 3. Schizophrenia 5. Other
## 4 5. Other 5. Other 5. Other
## 5 4. Neurosis 4. Neurosis 4. Neurosis
## 6 3. Schizophrenia 3. Schizophrenia 3. Schizophrenia
## 7 3. Schizophrenia 5. Other 5. Other
## 8 3. Schizophrenia 3. Schizophrenia 4. Neurosis
## 9 4. Neurosis 4. Neurosis 4. Neurosis
## 10 5. Other 5. Other 5. Other
## 11 4. Neurosis 4. Neurosis 4. Neurosis
## 12 4. Neurosis 4. Neurosis 4. Neurosis
## 13 3. Schizophrenia 3. Schizophrenia 3. Schizophrenia
## 14 4. Neurosis 4. Neurosis 4. Neurosis
## 15 4. Neurosis 4. Neurosis 5. Other
## 16 3. Schizophrenia 3. Schizophrenia 5. Other
## 17 4. Neurosis 5. Other 5. Other
## 18 1. Depression 1. Depression 2. Personality Disorder
## 19 4. Neurosis 4. Neurosis 4. Neurosis
## 20 5. Other 5. Other 5. Other
## 21 5. Other 5. Other 5. Other
## 22 4. Neurosis 4. Neurosis 4. Neurosis
## 23 5. Other 5. Other 5. Other
## 24 4. Neurosis 4. Neurosis 4. Neurosis
## 25 4. Neurosis 4. Neurosis 5. Other
## 26 2. Personality Disorder 2. Personality Disorder 4. Neurosis
## 27 1. Depression 5. Other 5. Other
## 28 4. Neurosis 4. Neurosis 4. Neurosis
## 29 3. Schizophrenia 3. Schizophrenia 3. Schizophrenia
## 30 5. Other 5. Other 5. Other
Calculate Fleiss’ Kappa
library(irr)
kappam.fleiss(diagnoses)
## Fleiss' Kappa for m Raters
##
## Subjects = 30
## Raters = 6
## Kappa = 0.43
##
## z = 17.7
## p-value = 0
Landis, J. R. and Koch, G. G. (1977) "The measurement of observer agreement for categorical data" in Biometrics. Vol. 33, pp. 159–174
Fleiss, J.L., and others. 1971. “Measuring Nominal Scale Agreement Among Many Raters.” Psychological Bulletin 76 (5): 378–82.
Joseph L. Fleiss, Myunghee Cho Paik, Bruce Levin. 2003. Statistical Methods for Rates and Proportions. 3rd ed. John Wiley; Sons, Inc.