Advances in multilevel modeling for educational research : addressing practical issues found in real-world applications /
Clasificación: | Libro Electrónico |
---|---|
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Charlotte, NC :
Information Age Publishing,
[2016]
|
Colección: | CILVR series on latent variable methodology.
|
Temas: | |
Acceso en línea: | Texto completo |
Tabla de Contenidos:
- The Discrepancy between Measurement and Modeling in Longitudinal Data Analysis / Daniel J. Bauer and Patrick J. Curran
- Incomplete Multilevel Data : Problems and Solutions / Joop Hox, Stef van Buuren, and Shahab Jolani
- Sampling Weight Considerations for Multilevel Modeling of Panel Data / Laura M. Stapleton, Jeffrey R. Harring, and Daniel Y. Lee
- Residual Diagnostics and Model Assessment in a Multilevel Framework : Recommendations toward Best Practice / Ann A. O'Connell, Gloria Yeomans-Maldonado, and D. Betsy McCoach
- Multilevel Cross-Classified Testlet Model for Complex Item and Person Clustering in Item Response Data Analysis / Hong Jiao, Akihito Kamata, and Chao Xie
- General Random Effect Latent Variable Modeling : Random Subjects, Items, Contexts, and Parameters / Tihomir Asparouhov and Bengt Muthen
- N-Level Structural Equation Model of Student Achievement Data Nested with Repeated Teachers, Schools, and Districts / Paras D. Mehta and Yaacov Petscher
- A Model for Cross-Classified Nested Repeated Measures Data / Jeffrey R. Harring, S. Natasha Beretvas, and Anita Israni
- Cross-classified Random Effects Models for Assessing Rater Severity and Differential Rater Functioning / S. Natasha Beretvas, Daniel L. Murphy, and Matthew N. Gaertner
- Handling Measurement Error in Predictors with a Multilevel Latent Variable : Plausible Values Approach / Ji Seung Yang and Michael Seltzer
- Mixture Modeling Methods for Causal Inference with Multilevel Data / Jee-Seon Kim, Peter M. Steiner, and Wen-Chiang Lim
- Multilevel Social Network Models : Incorporating Network-Level Covariates into Hierarchical Latent Space Models / Tracy Sweet and Qiwen Zheng.