Making History Count: A Primer in Quantitative Methods for HistoriansMaking History Count introduces the main quantitative methods used in historical research. The emphasis is on intuitive understanding and application of the concepts, rather than formal statistics; no knowledge of mathematics beyond simple arithmetic is required. The techniques are illustrated by applications in social, political, demographic and economic history. Students will learn to read and evaluate the application of the quantitative methods used in many books and articles, and to assess the historical conclusions drawn from them. They will also see how quantitative techniques can open up new aspects of an enquiry, and supplement and strengthen other methods of research. 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. Additional support includes five specific historical data-sets, available from the Cambridge website. |
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11-year moving average 24 Kent parishes 311 parishes 6.1 Calculation 7.1 The chi-square Autocorrelation Ballantine to show birth rate capita relief payments Censored cent level chi-square distribution correlation coefficients 250 county emigration rates Cross-tabulation Cumulative frequency data on WELFARE Data set degrees of freedom Detroit automobile ownership deviations either side diagram of relief Double logarithmic transformation dummy variable 306 equal class intervals explanatory variables Histogram index numbers intercept dummy variable Irish county emigration Irish emigration rates Least squares deviation level of significance linear regression logit MARK THOMAS mean covers Methods for Historians Miles of railway normal curve null hypothesis 169 outlier panel data parishes in 1831 payments in 311 Primer in Quantitative quantitative methods railway track added Reduced-form models regression coefficient regression line sample Scatter diagram selected degrees Semi-logarithmic transformation set for investigation shillings wide slope dummy variable Smooth curve skewed standard deviations superintendent's regime WELFARE and HOMELESS York Retreat