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Intraclass Correlation Coefficient (ICC) Questions and Answers | Latest Update | 2024/2025 | Rated A+
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Intraclass Correlation Coefficient (ICC) Questions and Answers | Latest Update | 2024/2025 | Rated A+ What does the Intraclass Correlation Coefficient (ICC) measure in statistics? The ICC measures the reliability or consistency of measurements made by different observers measuring the sam...

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  • October 9, 2024
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  • 2024/2025
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Intraclass Correlation Coefficient (ICC)
Questions and Answers | Latest Update |
2024/2025 | Rated A+
What does the Intraclass Correlation Coefficient (ICC) measure in statistics?


✔✔ The ICC measures the reliability or consistency of measurements made by different

observers measuring the same quantity.




How is the ICC used to assess the agreement between two or more raters?


✔✔ The ICC quantifies the degree of agreement among raters by comparing the variance

between raters to the total variance in the measurements.




What are the key assumptions underlying the calculation of the ICC?


✔✔ The key assumptions include that the measurements are normally distributed, the subjects

are randomly selected, and the measurements are independent.




What is the difference between ICC(1) and ICC(2) models?


✔✔ ICC(1) models assess single measurements, while ICC(2) models evaluate the reliability of

mean measurements across raters or measurements.




1

, How can ICC values be interpreted in terms of reliability?


✔✔ ICC values range from 0 to 1, where values below 0.5 indicate poor reliability, values

between 0.5 and 0.75 indicate moderate reliability, values between 0.75 and 0.9 indicate good

reliability, and values above 0.9 indicate excellent reliability.




In what scenarios would you use a two-way mixed-effects model for calculating ICC?


✔✔ A two-way mixed-effects model is used when raters are considered a random effect and

subjects are fixed, typically when all raters evaluate all subjects.




What does a high ICC value indicate about the consistency of measurements?


✔✔ A high ICC value indicates a strong agreement among measurements, suggesting that the

raters consistently assess the same subjects in a similar manner.




How does sample size influence the estimation of ICC?


✔✔ A larger sample size increases the precision of ICC estimates and reduces the confidence

interval, making the results more reliable.




What is the significance of confidence intervals when reporting ICC values?




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