Structural equation modeling applications using Mplus / Jichuan Wang, Xiaoqian Wang.
| Author/creator | Wang, Jichuan |
| Other author | Wang, Xiaoqian. |
| Format | Electronic |
| Edition | Second edition. |
| Publication Info | Hoboken, NJ : Wiley, 2020. |
| Description | 1 online resource. |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Wiley series in probability and statistics |
| 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. |
| 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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Source of description | Description based on print version record and CIP data provided by publisher. |
| Genre/form | Electronic books. |
| LCCN | 2019024453 |
| ISBN | 9781119422723 (epub) |
| ISBN | 9781119422716 (adobe pdf) |
| ISBN | (hardback) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | Access Content Online | ✔ Available |