The pioneering texts in quantitative history were written over two
decades ago, but as a command of methodological context, computer
experience, and statistical literacy have become increasingly important
to the study of history, the need for an introductory text addressing
these matters has increased. Quantitative Methods for Historians is a
theoretical and practical guide for the application of quantitative
analysis in historical research. It is designed for students of history
and related disciplines who are curious about the possibilities of
quantification and want to learn more about its recent development.
Integrating the use of the statistical packages SAS and SPSS with the
quantitative method, the authors discuss techniques for defining a
problem, proceed to the building of a data set and the use of
statistical methods, and conclude with the interpretation of results.
The data set section concentrates on the basics of formalized research,
discussing the coding process and the more complicated problems of data
transformation and linkage. The statistical parts systematically build
upon traditional fundamentals and introduce new analytical techniques
for qualitative variables.
Intended as a working introduction to quantitative methods, this guide
also provides additional information on advanced statistical techniques
and discusses questions of historical computing, reflecting critically
on the proper role of quantitative methods.