Description
| Product ID: | 9781462553143 |
| Product Form: | Hardback |
| Country of Manufacture: | GB |
| Title: | Longitudinal Structural Equation Modeling, Second Edition |
| Authors: | Author: Todd D. Little |
| Page Count: | 616 |
| Subjects: | Psychological theory, systems, schools and viewpoints, Psychological theory & schools of thought, Psychological methodology, Psychological methodology |
| Description: | Select Guide Rating This valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM. Emphasizing a decision-making approach, leading methodologist Todd D. Little describes the steps of modeling a longitudinal change process. He explains the big picture and technical how-tos of using longitudinal confirmatory factor analysis, longitudinal panel models, and hybrid models for analyzing within-person change. User-friendly features include equation boxes that translate all the elements in every equation, tips on what does and doesn't work, end-of-chapter glossaries, and annotated suggestions for further reading. The companion website provides data sets for the examples--including studies of bullying and victimization, adolescents' emotions, and healthy aging--along with syntax and output, chapter quizzes, and the book’s figures. New to This Edition: *Chapter on missing data, with a spotlight on planned missing data designs and the R-based package PcAux. *Chapter on longitudinal mixture modeling, with Whitney Moore. *Chapter on the random intercept cross-lagged panel model (RI-CLPM), with Danny Osborne. *Chapter on Bayesian SEM, with Mauricio Garnier. *Revised throughout with new developments and discussions, such as how to test models of experimental effects. |
| Imprint Name: | Guilford Press |
| Publisher Name: | Guilford Publications |
| Country of Publication: | GB |
| Publishing Date: | 2024-02-07 |