Structural equation modeling : applications using Mplus

Structural equation modeling applications using Mplus

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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Detalles Bibliográficos
Otros Autores: Wang, Jichuan, author (author), Wang, Xiaoqian, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey ; Chichester, West Sussex, England : Wiley [2020]
Edición:Second edition
Colección:Wiley series in probability and statistics
Materias:
Mplus.
Structural equation modeling > Data processing.
Multivariate analysis > Data processing.
Social sciences > Statistical methods > Data processing.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752735106719
Tabla de Contenidos:
  • 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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