9781119422709-1119422701-Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics)

Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics)

ISBN-13: 9781119422709
ISBN-10: 1119422701
Edition: 2
Author: Wang, Jichuan, Wang, Xiaoqian
Publication date: 2019
Publisher: Wiley
Format: Hardcover 536 pages
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Book details

ISBN-13: 9781119422709
ISBN-10: 1119422701
Edition: 2
Author: Wang, Jichuan, Wang, Xiaoqian
Publication date: 2019
Publisher: Wiley
Format: Hardcover 536 pages

Summary

Acknowledged authors Wang, Jichuan, Wang, Xiaoqian wrote Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics) comprising 536 pages back in 2019. Textbook and eTextbook are published under ISBN 1119422701 and 9781119422709. Since then Structural Equation Modeling: Applications Using Mplus (Wiley Series in Probability and Statistics) textbook was available to sell back to BooksRun online for the top buyback price of $ 34.18 or rent at the marketplace.

Description

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.

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