Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective - Rilegato

Geiser, Christian

Rilegato

ISBN 10: 146254424X ISBN 13: 9781462544240

Casa editrice: Guilford Press, 2020

Riassunto

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state–trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The book discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples.

Su questo libro

Informazioni sull?autore

Christian Geiser, PhD, is a former professor of quantitative psychology. He currently works as an instructor and statistical consultant. His areas of expertise are in structural equation modeling, longitudinal data analysis, latent class modeling, multitrait–multimethod analysis, and measurement. His website is https://christiangeiser.com/.

Dettagli dell'edizione

• Editore: Guilford Press
• Data di pubblicazione: 2020
• Lingua: Inglese
• ISBN 10: 146254424X
• ISBN 13: 9781462544240
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 344
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile