Applied Multilevel Analysis
Applied Multilevel Analysis
$91.99
USDThis is a practical introduction to multilevel analysis suitable for all those doing research. Most books on multilevel analysis are written by statisticians; those books are difficult for non-mathematical researchers. In contrast, this volume provides an accessible account on the practical application of multilevel analysis in research. 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 reanalyze the data. This approach will help bridge the conceptual and communication gap that exists between researchers and statisticians.
- Non-mathematical approach
- Computer output of all examples
- Comparison between software packages
Reviews & endorsements
'… a concise practical guide for non-mathematical researchers beginning to use this technique in their work.' Pradeep Malakar, Institute Food Research
Product details
January 2011Adobe eBook Reader
9780511279843
0 pages
0kg
23 b/w illus. 20 tables
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- Preface
- 1. Introduction
- 2. Basic principles behind multilevel analysis
- 3. What do we gain by applying multilevel analysis?
- 4. Multilevel analysis with different outcome variables
- 5. Multilevel modelling
- 6. Multilevel analysis in longitudinal studies
- 7. Multivariate multilevel analysis
- 8. Sample size calculations in multilevel studies
- 9. Software for multilevel analysis
- References
- Index.
