Structural Equation Modeling of Multiple Rater Data
Tobias Koch author Michael Eid author Christian Geiser author
Format:Hardback
Publisher:Guilford Publications
Published:11th Dec '24
Should be back in stock very soon
The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality. Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data. From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models. Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models. User-friendly features include equation boxes, application boxes, and a companion website with Mplus and lavaan code for the book’s examples.
"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-
ISBN: 9781462555710
Dimensions: unknown
Weight: 840g
358 pages