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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Computing Cohen's Kappa variance (and standard errors)

The Kappa ($\kappa$) statistic was introduced in 1960 by Cohen [1] to measure agreement between two raters. Its variance, however, had been a source of contradictions for quite a some time. My ...
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Adjusting kappa inter-rater agreement for prevalence

I am trying to calculate kappa scores for present/absent decisions made by two raters and I have heard that they can be adjusted for prevalence of the object of measurement. Can anyone advise on how ...
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Ordered category agreement

I have data on two processes, where the process assigns elements into ordered bins. I am interested in testing for agreement between the processes. What is the best way to do this (R code)? Here is ...
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Inter-rater reliability with many non-overlapping raters

I have a data set of 11,000+ distinct items, each of which was classified on a nominal scale by at least 3 different raters on Amazon's Mechanical Turk. 88 different raters provided judgments for ...
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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 ...
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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 ...