Abstract
This is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians, and they focus on the mathematical background. 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. This book is written for non-mathematical researchers and it explains when and how to use multilevel analysis. Many worked examples, with computer output, are given to illustrate and explain this subject.…
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1Topics & keywords
Topics
Keywords
- Computer science
- Bridge (graph theory)
- Multilevel model
- Contrast (vision)
- Subject (documents)
- Focus (optics)
- Data science
- Management science
UN Sustainable Development Goals
- Quality Education
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