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I am collecting data from a survey that includes a likert scale of 5 points. Each rater answers 18 questions (probably different questions). For each question I will have answers from 10 different raters. How can I calculate the interrater reliability, so that I can eliminate a rater who was giving random answers?

A rough example of the data, where x is the rater answer. enter image description here

One possible way, on a question level, calculate the difference between one rater's answer and the average of the answers of the other 9 raters for the same question, and have some threshold to eliminate raters. Or I can use intraclass correlation (ICC(1,k)) but how can I know which raters to eliminate? Or are there any other possible ways?

any help would be great,thanks,

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I eventually used Krippendorf's alpha, following the intuition in this question. Comparing inter-rater agreement between classes of raters

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  • $\begingroup$ Krippendorf's alpha is a good measure to use to help assess the idea of "agreement." $\endgroup$ – LSC Mar 6 '19 at 11:11

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