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Multilevel Analysis: An introduction to basic and advanced multilevel modeling
by Tom Snijders and Roel Bosker

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Chapter Title
Chapter 1           Introduction
Chapter 2           Multilevel Theories, Multi-Stage Sampling, and Multilevel Models
Chapter 3           Statistical Treatment of Clustered Data
Chapter 4 Chap 4 Chap 4  Chap 4 Chap 4   The Random Intercept Model
Chapter 5   Chap 5    Chap 5    The Hierarchical Linear Model
Chapter 6   Chap 6    Chap 6    Testing and Model Specification
Chapter 7           How much does the model explain?
Chapter 8   Chap 8        Heteroschedasticity
Chapter 9           Assumptions of the Hierarchical Linear Model
Chapter 10           Designing Multilevel Studies
Chapter 11           Crossed Random Effects
Chapter 12   Chap 12       Longitudinal Data
Chapter 13           Multivariate Multilevel Models
Chapter 14     Chap 14   Chap 14 Discrete Dependent Variables
Chapter 15           Software

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