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Can I read Longitudinal Structural Equation Modeling (Methodology in the Social Sciences Series) on EtoBox?
Longitudinal Structural Equation Modeling (Methodology in the Social Sciences Series) by Todd D. Little, Noel A. Card is a nonfiction available to read on EtoBox.
What is Longitudinal Structural Equation Modeling (Methodology in the Social Sciences Series) about?
"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 (http://crmda.ku.edu/guilford/little) 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)."--Publisher's website.;Overview and foundations of structural equation modeling -- Design issues in longi
Who reads Longitudinal Structural Equation Modeling (Methodology in the Social Sciences Series)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Todd D. Little, Noel A. Card
- Publisher
- The Guilford Press
- Published
- 2013
- Language
- EN
- ISBN
- 9781462510160
- Category
- nonfiction
- Subjects
- Business, Science, Psychology
Other editions & translations
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