Practical Multilevel Modeling Using R
- Francis L. Huang - University of Missouri, USA
Intermediate/Advanced Statistics | Quantitative Research Methods in Education | Quantitative Research Methods in Education | Research Methods in Sociology | Statistics - General Interest | Statistics in Political Science | Statistics in Psychology | Statistics in Sociology | Structural Equation Modeling, Hierarchical Linear Modeling, & Multilevel Modeling |
A major strength of this book is its accessibility. Huang effortlessly bridges the divide between the sometimes-abstruse literature on advanced statistics and the needs of applied researchers who lack extensive quantitative training. The result is an approachable text that covers all the basics, but also does not shy away from important advanced topics such as diagnostics, detecting and handling heteroscedasticity, and missing data handling methods. This book would make not only a useful guide to the application of multilevel modeling, but could also serve as an excellent companion text for a course on multilevel modeling.
This book is an excellent book for a graduate level multilevel modeling course that utilizes R; it perfectly combines the depth and breadth on this topic.
Sample Materials & Chapters
CH002-The Unconditional Means Model