- Douglas A. Luke - Washington University in St. Louis, USA
Quantitative Methods | Quantitative/Statistical Research | Sociological Research Methods
With growing statistical software package costs, more researchers are using R than ever before. This book allows researchers to do more when using R.
The book offers insights and explanations from which both newcomers and seasoned experts can find benefit.
Because of the author’s pedagogically masterful presentation of multi-level modeling, the otherwise challenging journey to this topic now becomes not only smooth but also enjoyable.
This is a very well-written and organized book. The author uses practical examples to help the readers understand the reasoning and steps of a complex statistical approach. I have used the first edition of this book in my class, and definitely plan on using the second edition too. This is a book that I would highly recommend to clinical researchers who are interested in learning multilevel modeling.
Multilevel Modeling provides a thorough and accessible introduction to multilevel models. Through extensive examples, the author expertly guides the reader through the material addressing interpretation, graphical presentation, and diagnostics along the way.
The new second edition is even better than the first. The models presented are closely linked to an extended example that students can readily identify with.
Sample Materials & Chapters
Chapter 1. The Need for Multilevel Modeling