Structural Equation Modeling of Multiple Rater Data, Book

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.

•The first comprehensive introduction to SEM of multiple rater data, from leading
researchers.
•Needed guidance to improve the validity of self-reports and informant reports on
constructs difficult to measure by other methods, such as emotions, attitudes, and
self-perceptions.
•Professional resource and graduate text for researchers in psychology, education,
management, public health, sociology, and more.
•User-friendly features include equation boxes, application boxes, and a companion
website with code for the book's examples.