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Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences) - Tapa blanda

Libro 24 de 33: Methodology in the Social Sciences

Geiser, Christian

 
9781462538782: Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences)
Tapa blanda
ISBN 10: 1462538789 ISBN 13: 9781462538782
Editorial: Guilford Press, 2020

Sinopsis

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.

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Acerca del autor

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/.

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Editorial
Guilford Press
Año de publicación
2020
Idioma
Inglés
ISBN 10 
1462538789
ISBN 13 
9781462538782
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
344
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania