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 |
Table of 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.