Using two multidisciplinary non-experimental datasets throughout, the book demonstrates that data analysis is really an active dialogue between ideas and evidence. Each dataset is returned to throughout the chapters enabling you to see the role of the researcher in action; it also showcases the difference between each approach and the significance of researchers’ decisions that must be made as you move through your analysis.
The book is divided into four clear sections:
- Data and their presentation
- Variable-based analyses
- Case-based analyses
- Comparing and combining approaches
Clear, original and written for students this book should be compulsory reading for anyone looking to conduct non-experimental quantitative data analysis.
Free resources on the companion website:
- A chapter summary
- Recommended reading suggestions
- Links to free SAGE journal articles
- Answers to chapter exercises and questions for discussion