An introduction to quantitative methods for historians / Roderick Floud.

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 example...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Taylor & Francis)
Main Author: Floud, Roderick
Format: eBook
Language:English
Published: New York : Routledge, 2006.
Subjects:
Table of Contents:
  • Cover; Title Page; Copyright; Dedication; Contents; Preface; Introduction; 1 Classifying historical data; (a) Nominal data; (b) Ordinal data; (c) Interval or ratio data; (d) Some complications; 2 Arranging historical data; (a) The data set; (b) The case; (c) The variable; (d) The data matrix; (e) Collecting data; 3 Some simple mathematics; (a) The frequency distribution; (b) Summation notation; (c) Logarithms; 4 The preliminary analysis of data, I: frequency distributions and charts; (a) The frequency distribution; (b) Cross-classification; (c) Charts; (d) Ratio scale graphs.
  • 5 The preliminary analysis of data, II: summary measures(a) The arithmetic mean; (b) The standard deviation; (c) The geometric mean; (d) The median; (e) The mode; (f) The coefficient of variation; (g) Which to use?; 6 The analysis of time series; (a) Objects and assumptions of the analysis of time series; (b) The rate of growth; (c) The trend; (d) Regular fluctuations in time series; (e) The use of ratios and index numbers; 7 Relationships between variables; (a) Is there a relationship?; (b) How strong is the relationship?; (c) The form of relationships.
  • (D) Correlation and regression with time series data8 The problem of imperfect data; (a) Too much information: the selection of variables; (b) Too much information: the selection of cases; (c) The 'significance' of sample results; (d) Too few data: the problems of missing data; (e) Data missing on one or more cases; (f) Data missing on one or more variables; (g) Data missing on one or more variables of one or more cases, but not on any complete case or variable; 9 Computers and data processing equipment; (a) Calculating machines; (b) Punched card data processing equipment.
  • (C) The electronic computerBibliography; Logarithms; Antilogarithms; Index.