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Handbook of Data Analysis (Paperback)
Loot Price: R2,777
Discovery Miles 27 770
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Handbook of Data Analysis (Paperback)
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'This book provides an excellent reference guide to basic
theoretical arguments, practical quantitative techniques and the
methodologies that the majority of social science researchers are
likely to require for postgraduate study and beyond' - Environment
and Planning '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.
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