Structural Equation Modeling of Multiple Rater Data

by Michael Eid, Christian Geiser, and Tobias Koch

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Book cover for Structural Equation Modeling of Multiple Rater Data

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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.

  • ISBN13 9781462555710
  • Publish Date 11 December 2024
  • Publish Status Active
  • Publish Country US
  • Publisher Taylor & Francis Ltd
  • Imprint Guilford Press
  • Format Hardcover
  • Pages 358
  • Language English