Structural Equation Modeling of Multiple Rater Data

“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-

Michael Eid, PhD, is Professor of Methods and Evaluation at the Free University of Berlin in Germany. His research focuses on measurement theory, in particular on the development of psychometric models for longitudinal and multimethod research. Since the early 2000s, he has been contributing to the development of structural equation models for analyzing multirater data for different types of raters and research designs. His more applied research contributions are in the areas of subjective well-being, mood regulation, and health psychology.

Christian Geiser, PhD, is a former professor of quantitative psychology. He currently works as an instructor and statistical consultant with QuantFish. His areas of expertise are in structural equation modeling, measurement, longitudinal data analysis, latent class modeling, and multitrait–multimethod analysis.

Tobias Koch, PhD, is Professor of Psychological Methods at the Friedrich-Schiller-Universität Jena in Germany. His research focuses on measurement theory and psychometrics, structural equation modeling, longitudinal data analysis, multilevel analysis, Bayesian analysis, and multitrait–multimethod analysis.