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
    role:
      role term: author.
  name:
    name part: Wang, Xiaoqian
    role:
      role term: author.
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: nju
    date issued: 2020
    copyright date: 2020
    edition: Second edition.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (x, 512 pages)
  abstract: Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--
  table of contents: Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling.
  note: Jichuan Wang, Xiaoqian Wang.
  note: Includes bibliographical references and index.
  subject:
    title info:
      title: Mplus
  subject:
    topic: Structural equation modeling
    topic: Data processing
  subject:
    topic: Multivariate analysis
    topic: Data processing
  subject:
    topic: Social sciences
    topic: Statistical methods
    topic: Data processing
  classification: QA278.3 .W36 2020
  classification: 519.5/3
  related item:
    title info:
      title: Structural equation modeling
    name:
      name part: Wang, Jichuan.
    origin info:
      publisher: Hoboken, NJ : Wiley, 2020.
      edition: 2 edition.
    identifier: (DLC) 2019024452
  related item:
    title info:
      title: Wiley series in probability and statistics
  identifier: 9781119422723
  identifier: 1119422728
  identifier: 9781119422716
  identifier: 111942271X
  identifier: 9781119422730
  identifier: 1119422736
  identifier: 9781119422709
  identifier: 2019024453
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: DLC
    record creation date: 191006
    record change date: 20260214205351.9
    record identifier: in00004685828
    language of cataloging:
      language term: eng