Practical Multilevel Modeling Using R
- Francis L. Huang - University of Missouri, USA
Quantitative Methods | Quantitative/Statistical Research (General) | Sociological Research Methods
The book describes multilevel modeling well by minimizing mathematics, utilizing the R software, and moving from a simple case to more complex cases. The author includes the syntax and output so that readers can test it themselves, and visual examples are given. Doctoral students in education and psychology will benefit from this book.
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.