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Structural equation modeling : applications using Mplus / Jichuan Wang, Xiaoqian Wang.

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Format:
Book
Author/Creator:
Wang, Jichuan, author.
Wang, Xiaoqian, author.
Series:
Wiley series in probability and statistics
Language:
English
Subjects (All):
Structural equation modeling--Data processing.
Structural equation modeling.
Multivariate analysis--Data processing.
Multivariate analysis.
Social sciences--Statistical methods--Data processing.
Social sciences.
Mplus.
Physical Description:
1 online resource (537 pages)
Edition:
Second edition.
Place of Publication:
Hoboken, New Jersey ; Chichester, West Sussex, England : Wiley, [2020]
Summary:
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"-- Provided by publisher
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.
Notes:
Description based on print version record.
Includes bibliographical references and index.
ISBN:
9781119422723
1119422728
9781119422730
1119422736
9781119422716
111942271X
OCLC:
1123181408

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