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题名/责任者:

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

版本说明:

2nd edition.

出版发行项:

Hoboken, NJ : Wiley, 2020.

ISBN:

9781119422709

载体形态项:

x, 512 pages : illustrations ; 24 cm.

丛编说明:

Wiley series in probability and statistics

个人责任者:

Wang, Jichuan, author.

附加个人名称:

Wang, Xiaoqian, author.

统一题名主题:

Mplus.

论题主题:

Structural equation modeling-Data processing.

论题主题:

Multivariate analysis-Data processing.

论题主题:

Social sciences-Statistical methods-Data processing.

中图法分类号:

O212.4

书目附注:

Includes bibliographical references and index.

内容附注:

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.

摘要附注:

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"--

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