rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Structural equation modeling
    sub title: applications using Mplus
  name:
    name part: Wang, Jichuan.
    role:
      role term: creator
  name:
    name part: Wang, Xiaoqian.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (xi, 453 pages) : illustrations
  abstract: "Focuses on the methods and practical aspects of SEM models using Mplus"--
  note: Jichuan Wang, Xiaoqian Wang.
  note: Electronic resource.
  note: 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.
  note: Includes bibliographical references and index.
  subject:
    title info:
      title: Mplus
  subject:
    topic: Multivariate analysis
    topic: Data processing
  subject:
    topic: Social sciences
    topic: Statistical methods
    topic: Data processing
  subject:
    topic: Structural equation modeling
    topic: Data processing
  subject:
    topic: MATHEMATICS
    topic: Probability & Statistics
    topic: General
  subject:
    topic: SOCIAL SCIENCE
    topic: Statistics
  classification: QA278.3 .W36 2012eb
  classification: 519.5/3
  classification: SOC027000
  related item:
    title info:
      title: Structural equation modeling with Mplus
    name:
      name part: Wang, Jichuan.
    origin info:
      publisher: Hoboken, N.J. : Wiley, 2012
    identifier: (DLC) 2012016113
  related item:
    title info:
      title: Wiley Online Library
  related item:
    title info:
      title: Wiley series in probability and statistics
  identifier: 111835625X (electronic bk.)
  identifier: 1118356314 (electronic bk.)
  identifier: 9781118356258 (electronic bk.)
  identifier: 9781118356319 (electronic bk.)
  identifier: 1118356292
  identifier: 1118356306
  identifier: 1118356314
  identifier: 9781118356296
  identifier: 9781118356302
  identifier: 9781119978299 (hardback)
  identifier: 2012023035
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 120605
    record change date: 20210728124937.0
    record identifier: in00002762462
    language of cataloging:
      language term: eng