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Longitudinal Structural Equation Modeling - Methodology in the Social Sciences Todd D. Little 1st edition
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Longitudinal Structural Equation Modeling - Methodology in the Social Sciences
Todd D. Little
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).
386 pages, Illustrations
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | May 10, 2013 |
| ISBN13 | 9781462510160 |
| Publishers | Guilford Publications |
| Pages | 386 |
| Dimensions | 180 × 261 × 23 mm · 894 g |
| Language | English |
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