Introduction -- Confirmatory Factor Analysis -- Structural Equations With Latent Variables -- Latent Growth Models For Longitudinal Data Analysis -- Multi-group Modeling -- Mixture Modeling -- Sample Size For Structural Equation Modeling. Jichuan Wang, Xiaoqian Wang. Includes Bibliographical Referen
Special Issue: Mixture Structural Equation Modeling
β Scribed by Reinecke, Jost
- Book ID
- 121256859
- Publisher
- Hogrefe & Huber Publishers
- Year
- 2006
- Tongue
- English
- Weight
- 88 KB
- Volume
- 2
- Category
- Article
- ISSN
- 1614-1881
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. solved a significant EFA factor loading matrix rotation problem by deriving the direct Quartimin rotation. Jennrich was also the first to develop standard errors for rotated solutions, although thes
Introduction -- Confirmatory Factor Analysis -- Structural Equations With Latent Variables -- Latent Growth Models For Longitudinal Data Analysis -- Multi-group Modeling -- Mixture Modeling -- Sample Size For Structural Equation Modeling. Jichuan Wang, Xiaoqian Wang. Includes Bibliographical Referen