What is a good ICC value?
Under such conditions, we suggest that ICC values less than 0.5 are indicative of poor reliability, values between 0.5 and 0.75 indicate moderate reliability, values between 0.75 and 0.9 indicate good reliability, and values greater than 0.90 indicate excellent reliability.
What is an ICC value?
The ICC is a value between 0 and 1, where values below 0.5 indicate poor reliability, between 0.5 and 0.75 moderate reliability, between 0.75 and 0.9 good reliability, and any value above 0.9 indicates excellent reliability [14].
Is the ICC insensitive to rater mean differences?
The Pearson correlation measures association between raters, but is insensitive to rater mean differences (bias). The ICC decreases in response to both lower correlation between raters and larger rater mean differences. Some may see this advantage, but others (see Cons) as a limitation.
What is the value of ICC in real statistics?
The high value of ICC shows there is a fair degree of agreement between the judges. Real Statistics Function: The Real Statistics Resource Pack contains the following function: ICC(R1) = intraclass correlation coefficient of R1 where R1 is formatted as in the data range B5:E12 of Figure 1.
What’s the correlation between ICC and interrater reliability?
Even though these scores are very different, the correlation between them is 1 – so they are highly consistent but don’t agree. If using a mean [ICC (#, k)], consistency is typically fine, especially for coding tasks, as mean differences between raters won’t affect subsequent analyses on that data.
How to calculate intraclass correlations ( ICC ) in SPSS?
1. Decide which category of ICC you need. · Determine if you have consistent raters across all ratees (e.g. always 3 raters, and always the same 3 raters). If not, use ICC(1), which is “One-way Random” in SPSS. · Determine if you have a population of raters. If yes, use ICC(3), which is “Two-Way Mixed” in SPSS.