A Guide to Quantitative History
Published on 28. February 1995
Book
Hardback
336 pages
978-0-275-94897-9 (ISBN)
Description
This book introduces statistical techniques for the particular needs of historians. The approach is practical and applied; alternative ways of resolving methodological problems are worked through. The emphasis is on applying the fundamentals of statistical theory to the specific research interests of historians and available historical sources. A special feature of the book is a discussion of the historical evolution of statistical techniques as a means of understanding their current applications and interpretations.
More details
Language
English
Place of publication
United States
Publishing group
Bloomsbury Publishing Plc
Target group
College/higher education
Professional and scholarly
Interest Age: From 7 to 17 years
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 23 mm
Weight
669 gr
ISBN-13
978-0-275-94897-9 (9780275948979)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
R. DARCY is Regents Professor of Political Science and Statistics at Oklahoma State University and co-author of Women, Elections, and Representation (1994), along with over 100 journal articles, book chapters, reviews, notes, and academic papers.
RICHARD C. ROHRS is Associate Professor of History at Oklahoma State University. He is the author of a book on ethnicity in Oklahoma and has published articles in such journals as Historical Methods, Diplomatic History, Journal of the Early Republic, The Historian, and Immigration History Newsletter.
RICHARD C. ROHRS is Associate Professor of History at Oklahoma State University. He is the author of a book on ethnicity in Oklahoma and has published articles in such journals as Historical Methods, Diplomatic History, Journal of the Early Republic, The Historian, and Immigration History Newsletter.
Content
Introduction Organizing Variables for Analysis and Sampling Historical Data Simple Descriptive Statistics Inferential Statistics: The Basics of Probability, Distributions, Significance Testing, and Confidence Intervals t-Test Cross-Classification Analysis of Variance Regression Analysis Multiple Regression Measurement: Scales, Indices, and Historical Demography Appendix Notes Works Cited Index