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.
This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics.
A bibliography is provided to guide historians towards the most useful further reading. This student friendly text was first published in 1973.
An Introduction to Quantitative Methods for Historians
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.
If we wish to compare birth and death rates in two different populations separated by space or time, ... is equally arguable that such artifices are enabling and powerful.15 Further reading Klein, Judy L., Statistical Visions in Time: A.
This authoritative guide to quantitative methods is designed to be used as the basic text for taught graduate courses, and upper-level students working on their own.
This book brings together leading organization scholars and business historians to examine the opportunities and challenges of incorporating historical research into the study of firms and markets.
Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem.
" - Charles Crothers, Auckland University of Technology This is a jewel among methods Handbooks, bringing together a formidable collection of international contributors to comment on every aspect of the various central issues, complications ...
In this volume, the field's founders and leaders answer this question, giving readers tips on: the art and method of the appropriate research design; the collection of life-history data; and the search for meaningful patterns to be found in ...