Longitudinal structural equation modeling /
Little, Todd D.
Longitudinal structural equation modeling / [Book] Todd D. Little ; foreword by Noel A. Card. - xxii, 386 pages : illustratios ; 27 cm. - Methodology in the social sciences .
Includes bibliographical references (pages 355-366) and index.
Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).
All
9781462510160 (hardback)
Social sciences--Statistical methods.
Longitudinal method.
Longitudinal method--Structural equation modeling
Social sciences--Statistical methods
001.433
Longitudinal structural equation modeling / [Book] Todd D. Little ; foreword by Noel A. Card. - xxii, 386 pages : illustratios ; 27 cm. - Methodology in the social sciences .
Includes bibliographical references (pages 355-366) and index.
Featuring actual datasets as illustrative examples, this book reveals numerous ways to apply structural equation modeling (SEM) to any repeated-measures study. Initial chapters lay the groundwork for modeling a longitudinal change process, from measurement, design, and specification issues to model evaluation and interpretation. Covering both big-picture ideas and technical "how-to-do-it" details, the author deftly walks through when and how to use longitudinal confirmatory factor analysis, longitudinal panel models (including the multiple-group case), multilevel models, growth curve models, and complex factor models, as well as models for mediation and moderation. User-friendly features include equation boxes that clearly explain the elements in every equation, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website (www.guilford.com/little-materials) provides datasets for all of the examples--which include studies of bullying, adolescent students' emotions, and healthy aging--with syntax and output from LISREL, Mplus, and R (lavaan).
All
9781462510160 (hardback)
Social sciences--Statistical methods.
Longitudinal method.
Longitudinal method--Structural equation modeling
Social sciences--Statistical methods
001.433