Structural equation modeling : applications using Mplus /

"Focuses on the methods and practical aspects of SEM models using Mplus"--

Bibliographic Details
Main Author: Wang, Jichuan
Other Authors: Wang, Xiaoqian
Format: eBook
Language:English
Published: Hoboken, N.J. : Wiley, 2012.
Series:Wiley Online Library.
Wiley series in probability and statistics.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Focuses on the methods and practical aspects of SEM models using Mplus"--
Item Description:Electronic resource.
Machine generated contents note: Preface 1. Introduction 1.1 Model formulation 1.2 Model identification 1.3 Model estimation 1.4 Model evaluation 1.5 Model modification 2. Confirmatory factor analysis (CFA) Models 2.1 Basics of CFA 2.2 CFA with continuous indicators 2.3 CFA with non-normal and censored continuous indicators 2.4 CFA with categorical indicators 2.5 Higher-order CFA 3. Structural Equation Models (SEM) 3.1 Multiple indicators and multiple causes (MIMIC) Model 3.2 Structural equation model 3.3 Correcting for measurement errors in single indicator variables 3.4 Testing interactions involving latent variables 4. Latent growth modeling (LGM) for longitudinal data 4.1 Linear latent growth model (LGM) 4.2 Non-linear LGM 4.3 LGM with multiple growth processes 4.4 Two-part LGM 4.5 LGM with categorical outcomes 5. Multi-Group Modeling 5.1 Multi-group confirmatory factor analysis (CFA) model 5.2 Multi-group structural equation model (SEM) 5.3 Multi-group latent growth model (LGM) 6. Mixture models 6.1 Latent class analysis (LCA) model 6.2 Latent transition analysis (LTA) model 6.3 Growth mixture model (GMM) 6.4 Factor Mixture Model (FMM) 7. Sample Size for Structural Equation Modeling 7.1 Rule of thumbs for sample size needed for SEM 7.2 Satorra-Saris's method for sample size estimation 7.3 Monte Carlo simulation for sample size estimation 7.4 Estimate sample size for SEM based on model fit statistics/indexes.
Physical Description:1 online resource (xi, 453 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:111835625X (electronic bk.)
1118356314 (electronic bk.)
9781118356258 (electronic bk.)
9781118356319 (electronic bk.)
DOI:10.1002/9781118356258