Handbook of Data Analysis
- Melissa A Hardy - Pennsylvania State University, USA
- Alan Bryman - University of Leicester, UK
Quantitative Data Analysis
The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage.
No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis.
It is a great book covering every aspect of data analysis!
For postgrad students
An excellent resource book for graduate students and professional researchers'
An excellent work, however in considering my specific needs for this module, it's emphasis on quantitative analysis and overall "theoretical" rather than "hands-on" approach is not so helpful in terms of teaching HOW TO DO qualitative data analysis."
An excellent and comprehensive text that will provide a useful reference point for conscientious students.
Great book that covers all the principle data analysis techniques.
I recommend it for several courses:
- Interview (Master);
- Research seminar in organisational psychology (Master);
- Work and organisational psychology (Master).
extremely detailed review and resource for students completing the dissertation-
good to include both qualitative and quantitative methods
not suitable for the purpose of the course, but nevertheless a very good preparation for me - gives me the possibility to extend my knowledge
Excellent text for researchers engaged in data analysis. This book deals with both quantitative and qualitative data analysis, however quantitative data analysis is the main focus of the text. Contains excellant chapters on modeling qualitative data with diagramatic representations. Not a beginners text. This book would be a great resource to experienced researchers, in particular quantitative researchers or those involved in mixed methods research.
An excellent detailed text on data analysis. Highly recommended to guide data analyisis for both MSc and PHd students.
