A Guide to Research, Data, and Statistics Konrad H. Jarausch, Kenneth A. Hardy
... “History and Quantification in Latin America. ... Special issue on quantitative
methods in American history of the Journal of Interdisciplinary History 13, no. 4.
Author: Konrad H. Jarausch
Publisher: UNC Press Books
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 work outlines a new framework for quantitatively assessing models and hypotheses in historical linguistics.
Author: Gard B. Jenset
Publisher: Oxford University Press
This book is an innovative guide to quantitative, corpus-based research in historical and diachronic linguistics. Gard B. Jenset and Barbara McGillivray argue that, although historical linguistics has been successful in using the comparative method, the field lags behind other branches of linguistics with respect to adopting quantitative methods. Here they provide a theoretically agnostic description of a new framework for quantitatively assessing models and hypotheses in historical linguistics, based on corpus data and using case studies to illustrate how this framework can answer research questions in historical linguistics. The authors offer an in-depth explanation and discussion of the benefits of working with quantitative methods, corpus data, and corpus annotation, and the advantages of open and reproducible research. The book will be a valuable resource for graduate students and researchers in historical linguistics, as well as for all those working with linguistic corpora.
This volume presents the result of the efforts of Soviet and American scholars at direct co-operation.
Author: Don Karl Rowney
Publisher: SAGE Publications, Incorporated
This volume presents the result of the efforts of Soviet and American scholars at direct co-operation. The result is a work which will be of great interest to quantitative historians in the West, and Western historians who specialise in the study of the USSR. Essays focus both on methodological issues and substantive issues. The substantive issues focus on Agro-Economic History, Social History, and Textual Provenance. The end result is a thorough study of facts about pre- and post-revolutionary Russia (many of them previously unearthed) as well as an examination of the methods used by Soviet qualitative historians in interpreting statistics.
Fully updated and carefully revised, this new 2nd edition of History by Numbers stands alone as the only textbook on quantitative methods suitable for students of history.
Author: Pat Hudson
Publisher: Bloomsbury Publishing
Fully updated and carefully revised, this new 2nd edition of History by Numbers still stands alone as the only textbook on quantitative methods suitable for students of history. Even the numerically challenged will find inspiration. Taking a problem-solving approach and using authentic historical data, it describes each method in turn, including its origin, purpose, usefulness and associated pitfalls. The problems are developed gradually and with narrative skill, allowing readers to experience the moment of discovery for each of the interpretative outcomes. Quantitative methods are essential for the modern historian, and this lively and accessible text will prove an invaluable guide for anyone entering the discipline.
A guide to quantitative history. Westport, CT: Praeger. ... Quantitative literacy:
Why numeracy matters for schools and colleges (pp. 75–89). Princeton, NJ: ...
Making history count a primer in quantitative methods for historians. New York: ...
Author: Kathleen W. Craver
Publisher: Rowman & Littlefield
This book features 85 interesting and exciting multi-century and multicultural web sites that are accompanied by numerical critical thinking questions and activities. Teachers can pose the questions to their entire class or individually assign them. It also contains lists of best practices and examples for interpreting, visualizing, and displaying quantitative data. History and social sciences educators will find this book an indispensable tool for incorporating numerical literacy skills into their class activities and assignments.
This is the first practical guide to cover the various stages of a history research project, from the selection of the topic and the organization and interpretation of source material, through to the completion of the written-up record.
Author: Bill Mcdowell
Publisher: Pearson Education
This is the first practical guide to cover the various stages of a history research project, from the selection of the topic and the organization and interpretation of source material, through to the completion of the written-up record. Whether it is for a dissertation, thesis article or, indeed, full-length book, Historical Research deals with the purpose of research, and the implications, limitations and benefits of different research methods, as well as the effective presentation of the finished result.
Davies, H. R., 'Automated record linkage of census enumerators' books and
registration data. Obstacles, challenges and solutions', History and Computing, 4
(1992), 16–26. Darcy, R. and Rohrs, R. C., A guide to quantitative history (
Author: Sonja Cameron
Publisher: Macmillan International Higher Education
Information and communications technology is now an essential tool for the historian and for anyone engaging in historical study. Today's 'history workstation' includes computers, modems, scanners, printers, digital cameras and a wide range of software applications to access the World Wide Web and to analyse historical sources. Sonja Cameron and Sarah Richardson provide a clear, jargon-free introduction which demystifies the computing skills needed for historical research. This step-by-step guide covers all aspects of history and computing including: - presentation: from word-processing an article which conforms to scholarly protocols to presenting a slide show - history and the World Wide Web: hints and tips on accessing and evaluating the wide range of historical material available on the internet - databases: a clear introduction which guides you through the process of creating your own database of historical sources - spreadsheets: a lucid explanation of basic quantitative methods, data analysis, graphing and charting - digitised text and images: help on analysing digitised text, creating images and web pages. The text is supported throughout by worked examples using historical sources, comprehensive illustrations, a detailed glossary and signposts to further study where appropriate. Using Computers in History is an indispensable aid to all those studying and researching history. Students, family and local historians, and history enthusiasts will all find this book informative and easy-to-use.
It may be right or wrong, but it is helpful because it offers a guide for further
inquiry. In a later chapter we'll discuss interpretive hypotheses more fully. 20. Can
you suggest a hypothesis to explain why black workers had substantially
Author: Loren Haskins
Publisher: Wipf and Stock Publishers
Quantitative analysis is a fundamental mode of thought in the modern world, and quantitative reasoning is one of the most powerful tools available for the study and interpretation of historical events. By using examples from published historical works,ÊUnderstanding Quantitative HistoryÊprovides historians and nonhistorians with an introductory guide to descriptive statistics, sampling and multivariate analysis, and formal reasoning. The book will prepare readers to understand and critique quantitative analysis in history and related disciplines such as sociology and political science. More broadly it will allow readers to participate more effectively in a wide range of public-policy discussions that use - or misuse numbers. One of the best ways to gain proficiency as a reader of quantitative history is to practice on published books and articles.ÊUnderstanding Quantitative HistoryÊreprints brief examples from a wide range of published works in American history, covering such topics as black women's, labor, and family history from early colonial times to the post-World War II era. Each chapter includes thirty to fifty questions with answers provided at the end of the chapter. The authors rely on ordinary language rather than mathematical terminology and emphasize the underlying logic of quantitative arguments rather than the details of the calculations. Understanding Quantitative HistoryÊwas sponsored by the Alfred P. Sloan Foundation.
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.
Author: Claire Lemercier
Publisher: University of Virginia Press
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.
Relevant to various branches of historical inquiry, this book provides an introduction for all students and research workers.
Author: Roderick Floud
Publisher: Taylor & Francis
Relevant to various branches of historical inquiry, this book provides an introduction for all students and research workers. The simpler and more useful techniques of descriptive and analytical statistics are described, up to the level of simple linear regression. Also, there are historical examples used throughout.
quantitative. history . Cambridge , Mass . : MIT Press , 1990 . ISBN 0 - 26208190 -
3 . - Guide to understanding for undergraduates and other beginners ; little
direction for beginning practitioners . Includes examples ( all from United States ...
Author: American Historical Association
Publisher: New York : Oxford University Press
Contains nearly 2,000 annotated citations (primarily English language works) divided into forth-eight sections ; citations refer chiefly to works published between 1961 and 1992.
This authoritative guide to the use of quantitative methods is designed to be used as the basic text for graduate courses, and is also suitable for upper-level students.
Author: Charles H. Feinstein
Publisher: Cambridge University Press
This authoritative guide to the use of quantitative methods is designed to be used as the basic text for graduate courses, and is also suitable for upper-level students. Making History Count is written by two senior economic historians with considerable international teaching experience. The text is clearly illustrated with numerous tables, graphs and diagrams, leading the student through the various key topics. It is supported by five specific historical data-sets, available electronically in downloadable and manipulable form.
Other names for survival analysis include event history analysis, failure time
analysis, hazard analysis, transition analysis, and duration analysis. Although
some methods of survival analysis are purely descriptive (e.g., Kaplan-Meier
Author: Gregory R. Hancock
The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.
Author: Long Island Historical Society. Library
Brooklyn Rediscovery is a program of the Brooklyn Educational & Cultural Alliance.