What does intraclass correlation measure?

What does intraclass correlation measure?

Intraclass correlation measures the reliability of ratings or measurements for clusters — data that has been collected as groups or sorted into groups. A related term is interclass correlation, which is usually another name for Pearson correlation (other statistics can be used, like Cohen’s kappa, but this is rare).

What is ICC Anova?

i.e., the well-known sample ICC formula called ICC(A,1) [6], which is thus a statistical estimate of the population intraclass coefficient ρ2A. The formula ICC(A,1) gives an estimate of the reliability of the method if an absolute agreement between different measurements is desired [6].

What does an ICC of 0 mean?

An intraclass correlation coefficient (ICC) is used to measure the reliability of ratings in studies where there are two or more raters. The value of an ICC can range from 0 to 1, with 0 indicating no reliability among raters and 1 indicating perfect reliability among raters.

What does ICC mean in statistics?

Intraclass correlation coefficients
Intraclass correlation coefficients (ICC) are recommended for the assessment of the reliability of measurement scales. However, the ICC is subject to a variety of statistical assumptions such as normality and stable variance, which are rarely considered in health applications.

What are the two types of reliability coefficients?

There are two types of reliability – internal and external reliability. Internal reliability assesses the consistency of results across items within a test. External reliability refers to the extent to which a measure varies from one use to another.

What does ICC stand for in statistics?

Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses.

What is a good ICC score?

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].

Can the ICC be negative?

Negative ICC estimates are possible and can be interpreted as indicating that the true ICC is low, that is, two members chosen randomly from any class vary almost as much as any two randomly chosen members of the whole population.