Cohen's kappa is a measure of the degree to which 2 raters agree. There is also a test of inter-rater agreement based on kappa. Use [inter-rater] if you are interested in other aspects of IRA, but not this specific measure.

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Inter-rater reliability for ordinal or interval data

Which inter-rater reliability methods are most appropriate for ordinal or interval data? I believe that "Joint probability of agreement" or "Kappa" are designed for nominal data. Whilst "Pearson" and ...
45
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1answer
27k views

Kappa statistic in plain English?

I am reading a data mining book and it mentioned the Kappa statistic as a means for evaluating the prediction performance of classifiers. However, I just can't understand this. I also checked ...
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1answer
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ICC and Kappa totally disagree

Much has been written on the ICC and Kappa, but there seems to be disagreement on the best measures to consider. My purpose is to identify some measure which shows whether there was agreement between ...
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468 views

Agreement statistics for confusion matrix with nominal categories

I have a decision support system that recommends Treatments (T1 to T8) to patients, where T'...
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Assessing and testing inter-rater agreement with kappa statistic on a set of binary and Likert items?

I am trying to calculate inter-rater reliability scores for 10 survey questions (on which there were 2 raters)--seven questions are binary (yes/no), and 3 are Likert-scale questions. Should inter-...
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1answer
203 views

What are the tests to measure agreement between two methods of measurement when the unit of measurement is different between the two methods?

Bland-Altman plot measure the agreement between two different methods which measures the same variable. As far as I understand Bland-Altman can measure only if the two methods have the same unit of ...
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How to calculate inter-rater reliability with multiple raters and multiple categories per item? [duplicate]

I have a data set for which I would like to calculate the inter-rater reliability. However, this data set does not seem to fit the typical models that conventional algorithms allow for. My data set ...