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

Geiser, Christian

Hardcover

ISBN 10: 146254424X ISBN 13: 9781462544240

Verlag: GUILFORD PUBN, 2020

Inhaltsangabe

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.

Über diesen Titel

Über die Autorinnen und Autoren

Christian Geiser, PhD, is CEO of Quantfish and former Professor of Psychology at Utah State University. His research interests are in psychometrics and structural equation modeling, particularly in longitudinal data analysis and multitrait–multimethod modeling. As part of his methodological work, he has presented new longitudinal structural equation modeling approaches for examining effects of situations and person–situation interactions, as well as models for integrating information from multiple reporters or other methods in longitudinal analyses. He offers Mplus workshops at www.goquantfish.com.

Christian Geiser, PhD, is Professor of Psychology at Utah State University and Director of the Quantitative Psychology PhD Specialization. His research interests are in psychometrics and structural equation modeling, particularly in longitudinal data analysis and multitrait–multimethod modeling. As part of his methodological work, he has presented new longitudinal structural equation modeling approaches for examining effects of situations and person–situation interactions, as well as models for integrating information from multiple reporters or other methods in longitudinal analyses.

Details zur Ausgabe

• Verlag: GUILFORD PUBN
• Erscheinungsdatum: 2020
• Sprache: Englisch
• ISBN 10: 146254424X
• ISBN 13: 9781462544240
• Einband: Gebundene Ausgabe
• Anzahl der Seiten: 332
• Kontakt zum Hersteller: The Guilford Press; https://guilford.com; ; 370 Seventh Avenue, Suite 1200; New York; NY; 10001; USA
• Verantwortliche Person: Logos Europe; contact@logoseurope.eu; ; rue Nicolas Poussin 9; La Rochelle; 17000; Frankreich