Analysing Quantitative Data
Variable-based and Case-based Approaches to Non-experimental Datasets
- Raymond A Kent - University of Stirling, Scotland
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
This compelling textbook provides a clear view of a broad range of possibilities for quantitative data, complementing the statistical toolbox with configurational methods. A must read for students aiming to get more out of data and move beyond 'push-button analysis'.
A very good complementary text surround understanding and effectively using SPSS; this is a great supplemental text for students undertaking research methods and dissertation projects (quantitatively based), to gain an enhanced understanding of the subject matter.
Definitely a book that broadens the perspective for quantitative data analysis. I specifically recommend the case-based approaches as reading for my graduate students.
Good resource for students studying data modules
This is a good core text and is recommended to students to suppor them on their research
This is an easy to follow guide.
This is a book I intend to use in my research methods courses starting from the coming academic year
I found this easy to read and use and had some really helpful chapters. What would be useful for future revised editions would be some references to the Carter Review of ITT and addressing such things as quantitative assessment theory and practice specifically for beginning teachers.
Very good introduction to the underpinning logic of variable-based in comparison with case-based data analysis techniques. Written in a very accessible style with helpful graphics and examples throughout.
A useful clear text for students
Sample Materials & Chapters
Analysing Quantitative Data: Data Preparation