A Guide to Quantitative History
Published on 22. February 1995
Book
Paperback/Softback
336 pages
978-0-275-95237-2 (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: 234 mm
Width: 156 mm
Thickness: 18 mm
Weight
512 gr
ISBN-13
978-0-275-95237-2 (9780275952372)
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
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