Structural Equation Modeling: Applications Using Mplus

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Jichuan Wang (Children's National Medical Center, The George Washington University, USA) Xiaoqian Wang (Mobley Group Pacific Ltd., P.R. China)

Structural Equation Modeling

Applications Using Mplus

Jichuan Wang (Children's National Medical Center, The George Washington University, USA), Xiaoqian Wang (Mobley Group Pacific Ltd., P.R. China)

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English

John Wiley & Sons Inc
21 November 2019

Social research & statistics; Probability & statistics

Series: Wiley Series in Probability and Statistics

Presents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using Mplus

Focusing on the conceptual and practical aspects of Structural Equation Modeling (SEM), this book demonstrates basic concepts and examples of various SEM models, along with updates on many advanced methods, including confirmatory factor analysis (CFA) with categorical items, bifactor model, Bayesian CFA model, item response theory (IRT) model, graded response model (GRM), multiple imputation (MI) of missing values, plausible values of latent variables, moderated mediation model, Bayesian SEM, latent growth modeling (LGM) with individually varying times of observations, dynamic structural equation modeling (DSEM), residual dynamic structural equation modeling (RDSEM), testing measurement invariance of instrument with categorical variables, longitudinal latent class analysis (LLCA), latent transition analysis (LTA), growth mixture modeling (GMM) with covariates and distal outcome, manual implementation of the BCH method and the three-step method for mixture modeling, Monte Carlo simulation power analysis for various SEM models, and estimate sample size for latent class analysis (LCA) model.

The statistical modeling program Mplus Version 8.2 is featured with all models updated. It provides researchers with a flexible tool that allows them to analyze data with an easy-to-use interface and graphical displays of data and analysis results.

Intended as both a teaching resource and a reference guide, and written in non-mathematical terms, Structural Equation Modeling: Applications Using Mplus, 2nd edition provides step-by-step instructions of model specification, estimation, evaluation, and modification. Chapters cover: Confirmatory Factor Analysis (CFA); Structural Equation Models (SEM); SEM for Longitudinal Data; Multi-Group Models; Mixture Models; and Power Analysis and Sample Size Estimate for SEM.

Presents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes Provides step-by-step instructions of model specification and estimation, as well as detailed interpretation of Mplus results using real data sets Introduces different methods for sample size estimate and statistical power analysis for SEM

Structural Equation Modeling is an excellent book for researchers and graduate students of SEM who want to understand the theory and learn how to build their own SEM models using Mplus.

By: Jichuan Wang (Children's National Medical Center The George Washington University USA), Xiaoqian Wang (Mobley Group Pacific Ltd., P.R. China)
Imprint: John Wiley & Sons Inc
Country of Publication: United States
Edition: 2nd edition
Dimensions: Height: 229mm, Width: 152mm, Spine: 28mm
Weight: 794g
ISBN: 9781119422709
ISBN 10: 1119422701
Series: Wiley Series in Probability and Statistics
Pages: 536
Publication Date: 21 November 2019
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Jichuan Wang, PhD, is Professor in the Department of Pediatrics, Epidemiology, and Biostatistics at the George Washington University (GWU) School of Medicine. He also serves as Senior Biostatistician in the National Children's Medical Center (CNMC) in Washington, DC. Xiaoqian Wang, PhD, is a Principle Consultant at Mobley Group Pacific Ltd., P.R. China.