Christian Geiser (United States Utah State University)

Broschiertes Buch

Longitudinal Structural Equation Modeling with Mplus

A Latent State-Trait Perspective

Beschreibung

An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent stateâ trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.

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/.

Produktdetails

• Methodology in the Social Sciences
• Verlag: Guilford Publications
• Seitenzahl: 344
• Erscheinungstermin: 4. November 2020
• Englisch
• Abmessung: 233mm x 153mm x 20mm
• Gewicht: 504g
• ISBN-13: 9781462538782
• ISBN-10: 1462538789
• Artikelnr.: 58664004