TY - JOUR
T1 - Asymptotic standard errors of intraclass correlation coefficients for two-way model
AU - Almehrizi, Rashid S.
AU - Emam, Mahmoud
N1 - Publisher Copyright:
© 2021 Taylor & Francis Group, LLC.
PY - 2021
Y1 - 2021
N2 - Intraclass correlation coefficients are estimated using appropriate analysis of variance models that are commonly used in behavioral measurement, biometric, and psychometric. The ICCs estimation accuracy is quantified by the degree of their sampling variability using the asymptotic standard errors or confidence intervals, which facilitates conducting hypothesis testing on ICCs. The article derived the asymptotic standard errors of absolute agreement ICC and relative consistency ICC for the two-way model. Monte Carlo simulations were performed for both normal data and nonnormal data under different conditions. Results supported that the proposed asymptotic standard errors for all ICCs were converging to the simulated true standard errors under different test conditions.
AB - Intraclass correlation coefficients are estimated using appropriate analysis of variance models that are commonly used in behavioral measurement, biometric, and psychometric. The ICCs estimation accuracy is quantified by the degree of their sampling variability using the asymptotic standard errors or confidence intervals, which facilitates conducting hypothesis testing on ICCs. The article derived the asymptotic standard errors of absolute agreement ICC and relative consistency ICC for the two-way model. Monte Carlo simulations were performed for both normal data and nonnormal data under different conditions. Results supported that the proposed asymptotic standard errors for all ICCs were converging to the simulated true standard errors under different test conditions.
KW - Absolute agreement
KW - Asymptotic standard error
KW - Confidence interval
KW - Intraclass correlation coefficient
KW - Relative consistency
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U2 - 10.1080/03610918.2021.1897624
DO - 10.1080/03610918.2021.1897624
M3 - Article
AN - SCOPUS:85104234872
SN - 0361-0918
JO - Communications in Statistics: Simulation and Computation
JF - Communications in Statistics: Simulation and Computation
ER -