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The creation of quantitative data sets requires the

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The creation of quantitative data sets requires the historian to carefully compileconsistent information about the phenomenon to be investigated and apply thetechniques of statistical data analysis to the data set to answer the research questions.6
Thus, to make effective use of quantitative evidence and statistical techniques forhistorical analysis, practitioners have to integrate the developing skills of the socialsciences, including sampling, statistical data analysis and data archiving into theirhistorical work. That task led to the development of new training programs inquantitative methods for historians (Anderson, 2007).Statistical analysis of historical data has ranged from simple descriptive statisticsto more elaborate quantitative analyses and models of events and behavior.Quantitative historians have borrowed heavily from sociology, political science,demography and economics, and made use of the classic linear regression model andits variants as techniques for more complex analysis.Statistical packages, such asSPSS, SAS, STATA and the like strengthen the analysis of quantitative historical work,as they do for the social sciences. An example of this is the development of the field ofecological regression, particularly for analysis of electoral patterns. Political scientistscan supplement analysis of election results with surveys of individual voters. Indeed,the National Election Survey conducted since 1948 has itself become a historicalsource of changing electoral behavior. But historians cannot go back and survey votersfrom the election of 1860, and thus must make use of the aggregate election resultsand the ecological characteristics of the voting units- e. g., precincts, districts orcountries- that provided the vote.Quantitative historians have to acquire the skills necessary to prepare andpresent statistical results in print. Historians use visual images, audio and video in thepresentations, not as “illustration” to enhance or supplement an analysis but as coreevidence for analysis. Steckel (2005) proposed an agenda for what he called “BigSocial Science History”, which would extend the capacities of quantitative history andtranslate some of its methods of work to non- quantitative projects. Thus, collaborativeefforts to manage the enormously expanding data infrastructure and the computertechnologies digitized historical evidence, and developed appropriate theoreticalapproaches to such historical work.The historical method of research follows the three major processes: 1)Datacollection. The historian collects data from the past relics, fossils or documents found inthe activities or through personal interviews with key informants. Old newspaperclippings, memoirs, diaries and the like are rich sources of historical data; 2)Analysis ofdata. The historian brings together the data collected to the state of knowledge aboutthe past event and use simple to complex statistical tools for analysis; and 3)Report offindings. The historian reports his findings by carefully explaining discrepancies notedand probable causes of such discrepancies.

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Term
Fall
Professor
NoProfessor
Tags
Statistics, researcher

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