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A little Python script to generate Cohen's Kappa and Weighted Kappa measures for inter-rater reliability

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Kappa Stats

This is a little Python script to generate Cohen's Kappa and Weighted Kappa measures for inter-rater reliability (or inter-rater agreement).

Cohen's Kappa is used to find the agreement between two raters and two categories. Weighted Kappa can be used for two raters and any number of ordinal categories.

A good source to understand these measures: http://en.wikipedia.org/wiki/Cohen%27s_kappa

Requirements

  • Python (tested on both 2.7 and 3.7)
  • NumPy
  • docopt
  • pytest (to run the tests)

You can install the dependencies with:

pip install -r requirements.txt

Usage

Example

For a quick example you can run kappa.py with one of the fixture files, e.g.

python kappa.py -cv -f test/fixtures/comma_separated.txt -u

Command line Options

kappa.py [--help] [--linear|--unweighted|--squared] [--verbose] [--csv] --filename <filename>

-h, --help                            Show this
-l, --linear                          Linear weights for disagreements (default)
-u, --unweighted                      Cohen's Kappa (unweighted agreement/disagreement)
-s, --squared                         Squared weights for disagreements
-v, --verbose                         Include number of categories and subjects in the output
-c, --csv                             For text files with comma-separated values
-f <filename>, --filename <filename>  The filename to process, with pairs of integers on each line. The values in each pair correspond to the rating that each of the two reviewers gave to a particular subject. The pairs must be whitespaced-separated (or comma-separated, with the -c flag).

Running the Tests

From the command line, use the following command to run the test cases

python -m pytest

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A little Python script to generate Cohen's Kappa and Weighted Kappa measures for inter-rater reliability

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