“This book provides a comprehensive yet accessible overview of the analysis of data from multiple raters. It introduces readers to the most basic models for analyzing multiple-rater data, while also providing in-depth coverage of more advanced models that can be used to analyze more complex designs and answer more complex questions.”

—Richard E. Lucas, PhD, MSU Foundation Professor, Department of Psychology, Michigan State University


“This is a great book for advanced graduate students who are well-grounded in statistics and seek a better understanding of how models for multiple raters work. The book does a good job of introducing each of the models and how they are estimated.”

—Sara Tomek, PhD, Department of Educational Psychology, Baylor University


“Written by leading scholars, this book fills a gap in the literature by providing a coherent, concise account of models for analyzing multiple-rater data within the CFA framework. The authors present an up-to-date, self-contained introduction to the field. I would recommend this book to students and colleagues and consider it for teaching courses on CFA modeling.”

—Thomas Eckes, PhD, TestDaF Institute (retired), Bochum, Germany


“The extensive coverage will make this the go-to reference on the analysis of multiple rater data.”

—David Kaplan, PhD, Hilldale Professor and Patricia Busk Professor of Quantitative Methods, Department of Educational Psychology, University of Wisconsin–Madison