10 raters each rate 10 ratees), and you have population data, use “Two-Way Random.
If you have consistent raters/ratees (e.g. 10 raters each rate 10 ratees), and you have sample data. with a different statistical program (Minitab) to reassure correct methodology. If you have consistent raters/ratees (e.g. Statistics The data collected on-farm were analyzed using a Principal. If you have inconsistent raters/ratees, use “One-Way Random.”. For example, in SPSS, you’re given three different options for calculating the ICC. If 9 of the raters rate 15 of the ratees and 1 rater rates all of them, or if 10 raters rate 2 each, you can still calculate the ICC.Ĭalculating the ICC is usually performed with software, and each program has its own terminology and quirks. For example, let’s say you have a group of 10 raters who rate 20 ratees. The main reason for all of this complexity is that the ICC is very flexible and can be adjusted for inconsistent raters for all ratees. Reproducibility of numerical measurements made by different people measuring the same thing.Ĭalculating the ICC is very complex by hand, in part because of the number of ICC formulas to choose from, and partly because the formulas themselves are complex. How closely relatives resemble each other with regard to a certain characteristic or traits. The ICC is used to measure a wide variety of numerical data from clusters or groups, including:
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