Multilevel analysis: an introduction to basic and advanced multilevel modeling
| מחבר ראשי: | |
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| מחברים אחרים: | |
| פורמט: | ספר |
| שפה: | English Spanish |
| מהדורה: | 2a ed. |
| נושאים: |
תוכן הענינים:
- Multilevel Theories, Multi-Stage Sampling and Multilevel Models
- Statistical Treatment of Clustered Data
- The Random Intercept Model
- The Hierarchical Linear Model
- Testing and Model Specification
- How Much Does the Model Explain
- Heteroscedasticity
- Missing data
- Assumptions of the Hierarchical Linear Model
- Designing Multilevel Studies
- Other methods and models
- Imperfect hierarchies
- Survey weights
- Longitudinal Data