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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Structural Equation Modeling

Structural Equation Modeling

Wang, Jichuan
Wang, Xiaoqian

Hardcover

Series: Wiley Probability and Statistics, Book 9

General SociologyProbability & Statistics

ISBN10: 1119422701
ISBN13: 9781119422709
Publisher: Wiley
Published: Dec 11 2019
Pages: 536
Weight: 1.80
Height: 1.20 Width: 6.10 Depth: 9.10
Language: English

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.

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