The Class: Quantitative Analysis of Historical Data 1. Quantitative methods and statistics 2. Historical methods 3. Social, Political, Economic, Urban… and Milwaukee History as examples 4. Syllabus for the Class: 5/595syl2010.htm
Uses of Quantitative History We can study trends – in population, in economic change, social attitudes, political activities….. We can draw graphs and create visual displays of information….
Approaches Timeline: visualizing history graphically by listing events according to time, or by graphing events with time on the X axis Cross Section: Examining “mass” phenomena: voting, public opinion, social characteristics, etc.
Timeline 1456: Gutenberg Bible (Invention of movable type) 1492 Columbus’ “Discovery” of the New World ca 1500 Renaissance 1517 Protestant Reformation 1607: Founding of Virginia (Jamestown Colony) : Founding of Plymouth Colony and Massachusetts Bay
Timeline: Growth of Human Population
Timeline 1456: Gutenberg Bible (Invention of movable type) 1492 Columbus’ “Discovery” of the New World ca 1500 Renaissance 1517 Protestant Reformation 1607: Founding of Virginia (Jamestown Colony) : Founding of Plymouth Colony and Massachusetts Bay
Growth of the U.S Population compared to the UK and France
Growth in the Size of the U.S. House of Representatives
Admitting States to the Union
Poverty Trends in the U.S.
Cross Sections Useful for summarizing lots of information about many cases Examples from social history
Uses of Quantitative History We can study of the history of ordinary people who don’t leave archival records, aren’t famous or powerful Thus history using averages and patterning rather than study of individual events. We will ask how people lived: 1. What kinds of jobs did they have? 2. What were their houses and neighborhoods like? 3. What was the ethnic composition of the city?
History of Housing in Milwaukee The City Building Process by Roger SimonThe City Building Process Looks at 3 neighborhoods in Milwaukee from roughly 1880 to 1930 The South Side; The North West Side; the East Side What are data?