Handbook of Data Analysis
- Melissa A Hardy - Pennsylvania State University, USA
- Alan Bryman - University of Leicester, UK
Marketing Research | Research Methods & Evaluation | Research Methods for Business & Management
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.
'An excellent resource book for graduate students and professional researchers'
This is a great text for anyone in the process of planning their researh. It presents a wealth of information and guidance around the analysis of data generated through both qualitative and quantitative research approaches.
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
An excellent text exploring the tricky arena of quantitative and qualitative data analysis. An excellent addition to any student/course with contributions from world experts.
The title is not misleading; this truly is a handbook of data analysis. It is thorough and provides detailed information in all aspects related to the subject, from statistical treatment to interview methods and qualitative analysis. The book is graphically very well presented and is an excellent source, providing at the same time a reliable theoretical background and a very well structured approach which can help students engage in the discipline.
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.
useful text for those conducting research rather than a literature review for their dissertation
This book will be of use for students undertaking quantitative methodological research projects
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.
