This is a practical introduction to multilevel analysis suitable for non-mathematical researchers. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background, making them difficult for non-mathematical researchers. These books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the application of multilevel analysis in research. It addresses the practical issues that confront those undertaking research and wanting to find the correct answers to research questions. Many worked examples, with computer output, are given to illustrate and explain this subject. Datasets of the examples are available on the internet, so the reader can re-analyse the data. This approach will help to bridge the conceptual and communication gap that exists between those undertaking research and statisticians. (Author/publisher)
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