Structural equation modeling : applications using Mplus /

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Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Wang, Jichuan (Author), Wang, Xiaoqian (Author)
Format: Electronic eBook
Language:Inglés
Published: Hoboken, NJ : Wiley, 2020.
Edition:Second edition.
Series:Wiley series in probability and statistics
Subjects:
Mplus.
Structural equation modeling > Data processing.
Multivariate analysis > Data processing.
Social sciences > Statistical methods > Data processing.
Modèles d'équations structurales > Informatique.
Analyse multivariée > Informatique.
Sciences sociales > Méthodes statistiques > Informatique.
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Confirmatory factor analysis
  • Structural equation model
  • Latent growth models (LGM) for longitudinal data analysis
  • Multi-group modeling
  • Mixture modeling
  • Sample size for structural equation modeling.

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