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Structural equation modeling : applications using Mplus /

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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...

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Bibliographic Details
Main Authors: Wang, Jichuan (Author), Wang, Xiaoqian (Author)
Format: eBook
Language:English
Published: Hoboken, NJ : Wiley, 2020.
Edition:Second edition.
Series:Wiley series in probability and statistics.
Subjects:
Mplus.
Structural equation modeling > Data processing.
Multivariate analysis > Data processing.
Social sciences > Statistical methods > Data processing.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
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"--
Physical Description:1 online resource (x, 512 pages)
Bibliography:Includes bibliographical references and index.
ISBN:9781119422716
111942271X