Interrater reliability for multilevel data: A generalizability theory approach.
Abstract
Current interrater reliability (IRR) coefficients ignore the nested structure of multilevel observational data, resulting in biased estimates of both subject- and cluster-level IRR. We used generalizability theory to provide a conceptualization and estimation method for IRR of continuous multilevel observational data. We explain how generalizability theory decomposes the variance of multilevel observational data into subject-, cluster-, and...
Paper Details
Title
Interrater reliability for multilevel data: A generalizability theory approach.
Published Date
Aug 1, 2022
Journal
Volume
27
Issue
4
Pages
650 - 666
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