Longitudinal Structural Equation Modeling (eBook)

Todd D. Little (Autor)

eBook Download: PDF

2023
616 Seiten
Guilford Publications (Verlag)
978-1-4625-5316-7 (ISBN)

Infos

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 doesnt 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.

Produkt-Details

• Erscheint lt. Verlag: 25.10.2023
• Vorwort: Noel A. Card
• Sprache: englisch
• Themenwelt: Geisteswissenschaften ► Psychologie ► Allgemeine Psychologie
• ISBN-10: 1-4625-5316-8 / 1462553168
• ISBN-13: 978-1-4625-5316-7 / 9781462553167