{"product_id":"structural-equation-modeling-hardcover","title":"Structural Equation Modeling - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eJichuan Wang\u003c\/b\u003e (Author), \u003cb\u003eXiaoqian Wang\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePresents a useful guide for applications of SEM whilst systematically demonstrating various SEM models using M\u003ci\u003eplus\u003c\/i\u003e\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFocusing 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eIntended as both a teaching resource and a reference guide, and written in non-mathematical terms, \u003ci\u003eStructural Equation Modeling: Applications Using Mplus, 2nd edition\u003c\/i\u003e 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.\u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a useful reference guide for applications of SEM while systematically demonstrating various advanced SEM models\u003c\/li\u003e \u003cli\u003eDiscusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes\u003c\/li\u003e \u003cli\u003eProvides step-by-step instructions of model specification and estimation, as well as detailed interpretation of M\u003ci\u003eplus\u003c\/i\u003e results using real data sets\u003c\/li\u003e \u003cli\u003eIntroduces different methods for sample size estimate and statistical power analysis for SEM\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eStructural Equation Modeling\u003c\/i\u003e 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 M\u003ci\u003eplus\u003c\/i\u003e. \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eJichuan Wang, PhD, \u003c\/b\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eXiaoqian Wang, PhD, \u003c\/b\u003e is a Principle Consultant at Mobley Group Pacific Ltd., P.R. China.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 536\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.2 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e November 21, 2019\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47337006563577,"sku":"9781119422709","price":139.61,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/d25RaEZTanROR1V1TURKUVJVcFFJdz09.webp?v=1769674534","url":"https:\/\/bookscloud.io\/products\/structural-equation-modeling-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}