This brief lecture will provide a practical overview of how ICCs are calculated based on fitted linear and generalized linear mixed models, putting a focus on interpretation and important considerations depending on the data set being analyzed and the software being used.
Brady T. West is a Research Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor (U-M) campus. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, selection bias in surveys, responsive/adaptive survey design, interviewer effects, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Third Edition, Chapman Hall/CRC Press, 2022), along with a second book entitled Applied Survey Data Analysis (with Steven Heeringa and Pat Berglund), the third edition of which was published by CRC Press in April 2025. He was elected as a Fellow of the American Statistical Association in 2022.
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