| Description |
xi, 354 pages : illustrations ; 25 cm |
| Contents |
1. Introduction -- 2. Multilevel Theories, Multi-Stage Sampling and Multilevel Models -- 3. Statistical Treatment of Clustered Data -- 4. The Random Intercept Model -- 5. The Hierarchical Linear Model -- 6. Testing and Model Specification -- 7. How Much Does the Model Explain? -- 8. Heteroscedasticity -- 9. Missing data -- 10. Assumptions of the Hierarchical Linear Model -- 11. Designing Multilevel Studies -- 12. Other methods and models -- 13. Imperfect hierarchies -- 14. Survey weights -- 15. Longitudinal Data -- 16. Multivariate Multilevel Models -- 14. Discrete Dependent Variables -- 15. Software |
| Summary |
Multilevel Analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks |
| Notes |
Previous ed.: 1999 |
|
"The second edition of this classic text introduces the main methods, techniques and issues involved in carrying out multilevel modeling and analysis"--[Cover] |
| Bibliography |
Includes bibliographical references (pages [332]-347) and index |
| Subject |
Mathematical models.
|
|
Multilevel models (Statistics)
|
|
Multivariate analysis.
|
| Author |
Bosker, R. J. (Roel J.)
|
| LC no. |
2011926498 |
| ISBN |
9781849202008 (hbk.) |
|
9781849202015 (paperback) |
|
