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If you have the same raters for each case, this is generally the model to go with.
This will always be larger than ICC(1) and is represented in SPSS as “Two-Way Random” because 1) it models both an effect of rater and of ratee (i.e.
The primary resource available is a 1979 paper by Shrout and Fleiss, which is quite dense.
It is most useful with massively large coding tasks.
For example, if you had 2000 ratings to make, you might assign your 10 research assistants to make 400 ratings each – each research assistant makes ratings on 2 ratees (you always have 2 ratings per case), but you counterbalance them so that a random two raters make ratings on each subject.
If you’re coding for research, you’re probably going to use the mean rating.
If you’re coding to determine how accurate a single person would be if they made the ratings on their own, you’re interested in the reliability of a single rater.
Here are the first two questions: If your answer to Question 1 is no, you need ICC(1).