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Multilevel modeling methods with introductory and advanced applications /
Multilevel Modeling Methods with Introductory and Advanced Applications provides a cogent and comprehensive introduction to the area of multilevel modeling for methodological and applied researchers as well as advanced graduate students. The book is designed to be able to serve as a textbook for a o...
| Clasificación: | Libro Electrónico |
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| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Charlotte, NC :
IAP/Information Age Publishing, Incorporated,
2022.
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| Colección: | Quantitative methods in education and the behavioral sciences.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Introduction to multilevel modeling methods: pedagogy and context / Ann. A O'Connell, D. Betsy McCoach, and Bethany A. Bell
- Section1. Organizational Data
- Introduction to multilevel models for organizational data / Bethany A. Bell and Jason A. Schoeneberger
- Evaluation of model fit and adequacy / D. Betsy McCoach, Sarah D. Newton, Anthony J. Gambino
- Causal inference in multilevel settings / Chris Rhoads and Eva Yujia Li
- Statistical power for linear multilevel models / Jessaca Spybrook, Benjamin M. Kelcey, and Nianbo Dong
- Cross-classified random-effects models / Audrey J. Leroux and S. Natasha Beretvas
- Multilevel logistic and ordinal models / Ann A. O'Connell, Meng-Ting Lo, Jessica Goldstein, H. Jane Rogers, and C.-Y. Joanne Peng
- Single and multilevel models for counts / Ann A. O'Connell, Nivedita Bhaktha, and Jing Zhang
- Section 2. Longitudinal Data
- Individual growth curve models for longitudinal data / D. Betsy McCoach, Bethany A. Bell, and Aarti P. Bellara
- Modeling nonlinear longitudinal change with mixed effects models / Jeffrey R. Harring and Shelley A. Blozis
- Within-subject residual variance-covariance structures in longitudinal data analysis / Minjung Kim, Hsien-Yuan Hsu, and Oi-man Kwok
- Modeling variation in intensive longitudinal data / Donald Hedeker and Robin J. Mermelstein
- Section 3. Design and Special Issues
- Using large-scale complex sample datasets in multilevel modeling / Laura M. Stapleton and Scott L. Thomas
- Common measurement issues in a multilevel framework / Brian F. French, W. Holmes Finch, and Thao Vo
- Missing data handling for multilevel data / Craig K. Enders and Timothy Hayes
- Multilevel mediation analysis / Nicholas J. Rockwood and Andrew F. Hayes
- Reporting results of multilevel designs / John M. Ferron, Yan Wang, Zhiyao Yi, Yue Yin, Eunsook Kim, and Robert F. Dedrick.