Structural equation modeling applications using Mplus
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...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Hoboken, New Jersey ; Chichester, West Sussex, England :
Wiley
[2020]
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| Edition: | Second edition |
| Series: | Wiley series in probability and statistics
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009752735106719 |
| 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"-- |
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| Physical Description: | 1 online resource (537 pages) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781119422723 9781119422730 9781119422716 |
