| Description |
The original new work on research methods and elementary statistics recognises that research design and statistical analysis are interdependent. Students need a wide variety of common analysis tools and practical examples, in order to be able to correctly understand the complexities of real-world data. This book is an invaluable resource to students to develop the statistical judgement needed for career success. Research Design & Statistics encourages students to think of themselves as researchers by engaging the reader in statistical issues and problems from the outset. Importantly, this book is approachable and easy to use. It features a dedicated chapter on the problems of outlier identification and the consequences of data not meeting test assumptions. Another chapter focuses on multiple comparison procedures, and explains why as well as how things should be done. |
| Key Features |
| Table of Contents |
1. Planning your experimental design 2. Statistical issues when planning research 3. Outliers and assumptions 4. Descriptive statistics 5. Common analysis tools 6. Multiple comparison procedures 7. Non-parametric statistical methods 8. Regression and correlation |
