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Sample Size Calculator (web)

Intraclass Correlation Coefficient (ICC) - Hypothesis Testing¹

Minimum acceptable reliability (ICC) (ρ₀):
Expected reliability (ICC) (ρ₁):
Significance level (α): Two-tailed
Power (1 - β): %
Number of raters/repetitions per subject (k):
Expected dropout rate: %

Sample size, n =
Sample size (with 10% dropout), n_drop =

Intraclass Correlation Coefficient (ICC) - Estimation²

Expected reliability (ICC) (ρ):
Precision (± expected):
Confidence level 100(1 - α): %
Number of raters/repetitions per subject (k):
Expected dropout rate: %

Sample size, n =
Sample size (with 10% dropout), n_drop =

References:

¹Walter, S.D., Eliasziw, M., & Donner, A. (1998). Sample size and optimal designs for reliability studies. Statistics in medicine, 17, 101-110. [In this paper, note that n = number of replicates, k = number of subjects i.e. sample size. Here in this calculator, we use k = number of replicates, n = number of subjects.]

²Bonett, D. G. (2002). Sample size requirements for estimating intraclass correlations with desired precision. Statistics in medicine, 21(9), 1331-1335.

Suggested reference:

APA: Arifin, W. N. (2018). A web-based sample size calculator for reliability studies. Education in Medicine Journal, 10(3), 67–76. https://doi.org/10.21315/eimj2018.10.3.8

Vancouver: Arifin, WN. A web-based sample size calculator for reliability studies. Education in Medicine Journal. 2018;10(3):67–76. https://doi.org/10.21315/eimj2018.10.3.8

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