Handbook of Data Analysis
- Melissa A Hardy - Pennsylvania State University, USA
- Alan Bryman - University of Leicester, UK
'The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher' - Clive Seale, Brunel University
'With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ' - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa
'This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments' - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey
This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence.
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.
This comprehensive book is an excellent reference guide for researchers to guide them in data analysis techniques. Various topics around data analysis are discussed in detail. This is definitely a book for researchers to keep at hand all the time.
It can be used not only a one course handbook, it also have wide range of interest about data management and analysis.
This is an excellent book with 30 separate chapters, all by key authors. Covers the foundations of data analysis, linear and longitudinal models, 'new developments' and analysing qual. data. Whilst many students will probably only use the book for a specific chapter there is a wealth of information here including: feminist issues, analysing incomplete data, grounded theory, the postmodern turn. Suitable for some 3rd year UG and many PG 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).
It is a great book covering every aspect of data analysis!
An excellent detailed text on data analysis. Highly recommended to guide data analyisis for both MSc and PHd students.
This work reliefs the students of the crises of inability of reducing their computations into meaningful reports owing to lack of skills. It is indeed, a masterpiece in a dry area of interest
An excellent and comprehensive text that will provide a useful reference point for conscientious students.
For postgrad students
This is a very thorough and well-presented handbook of data analysis. Although it is a bit on the advanced side for the course I initially planned on using it for, I will definitely recommend it to my Masters graduation students.