![]() Var( ε): variability due to differences in the evaluations of the subjects by the judges (e.g. Var( β): variability due to differences in the subjects (i.e. ![]() ![]() Thus there are three types of variability: From Definition 1 in Two Factor ANOVA without Replication we have the model We have added row 29 which contains the calculation of the ICC (in cell I29) using the formula Here the rows relate to the Between Subjects (Wines) and the columns relate to the Judges (who are the raters). Figure 2 shows the results of this analysis.įigure 2 – Calculation of Intraclass Correlation We will assume that the four judges are taken from a random sample of judges and use Excel’s Anova: Two Factor without Replication data analysis (i.e. We can see from the data that there is a fair amount of consistency between the ratings of the different judges with a few noticeable differences. Each judge tests each wine once. We would like to determine whether the wines can be judged reliably by different judges. We illustrate the ICC technique applied to Likert scales via the following example.Įxample 1: Four judges assess 8 types of wine for quality by assigning a score from 0 to 9 with the ratings given in Figure 1. Using ICC for comparisons against a gold standard.Basic concepts of the ICC(2,1) model (this webpage).The intraclass correlation (ICC) assesses the reliability of ratings by comparing the variability of different ratings of the same subject to the total variation across all ratings and all subjects.
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