This timely and lucid guide is intended for students and scholars
working on all historical periods and topics in the humanities and
social sciences-especially for those who do not think of themselves
as experts in quantification, ""big data,"" or ""digital
humanities."" The authors reveal quantification to be a powerful
and versatile tool, applicable to a myriad of materials from the
past. Their book, accessible to complete beginners, offers detailed
advice and practical tips on how to build a dataset from historical
sources and how to categorize it according to specific research
questions. Drawing on examples from works in social, political,
economic, and cultural history, the book guides readers through a
wide range of methods, including sampling, cross-tabulations,
statistical tests, regression, factor analysis, network analysis,
sequence analysis, event history analysis, geographical information
systems, text analysis, and visualization. The requirements,
advantages, and pitfalls of these techniques are presented in
layperson's terms, avoiding mathematical terminology. Conceived
primarily for historians, the book will prove invaluable to other
humanists, as well as to social scientists looking for a
nontechnical introduction to quantitative methods. Covering the
most recent techniques, in addition to others not often enough
discussed, the book will also have much to offer to the most
seasoned practitioners of quantification.
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