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License: GNU General Public License v3.0
Python implementation of Krippendorff's alpha -- inter-rater reliability
License: GNU General Public License v3.0
Great package. Would be even better if there were unit tests to demonstrate its correctness!
Minimal working example
array = [[1,1,1],[1,1,1],[1,1,1]]
print("nominal metric: %.3f" % krippendorff_alpha(array, nominal_metric, missing_items=missing))
print("interval metric: %.3f" % krippendorff_alpha(array, interval_metric, missing_items=missing))
Output
./krippendorff_alpha.py:103: RuntimeWarning: invalid value encountered in double_scalars
return 1.-Do/De
nominal metric: nan
interval metric: nan
If I understand Krippendorff Alpha, the expected output should be one for all metrics. I'm not sure what should be done if there are missing values.
Hello,
I want to use krippendorff's alpha for ordinal data (6-point Likert scale), but no ordinal distance function is available.
Ordinal distance formula (https://en.wikipedia.org/wiki/Krippendorff%27s_alpha):
Has a support for ordinal data been considered yet?
Cheers
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