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Quantitative history

Quantitative history is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Quantitative history rather than just read about it. In short: Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), Journal of Interdisciplinary History (1968– ), the Social Science History (1976– ), and Cliodynamics: The Journal of Quantitative History and Cultural Evolution (2010– ).

Key takeaways

  • Quantitative history belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Quantitative history to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Quantitative history from memory before moving on to harder problems.

Reference excerpt

Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), Journal of Interdisciplinary History (1968– ), the Social Science History (1976– ), and Cliodynamics: The Journal of Quantitative History and Cultural Evolution (2010– ). Quantitative historians use databases as their main sources of information. Large quantities of political, economic and demographic data are available in print or manuscript format, such as census information on individuals, and election returns. Large quantities have been converted into computer databases. The largest repository presently is the Inter-university Consortium for Political and Social Research (ICPSR) of the University of Michigan, which provides access to an extensive collection of downloadable political and social data for the United States and the world. Quantitative historians use statistical methods to find patterns of human behavior covering all sectors of society, not just the elites who create documents preserved in traditional archive.

Data bases Content analysis is a technique borrowed from journalism research whereby text from newspapers, magazines or similar sources are coded numerically according to a standardized list of topics.

Economic history Economic historians use major data sets, especially those collected by governments since the 1920s. Historians of slavery have used census data, sales receipts and price information to reconstruct the economic history of slavery.

Political history Quantifiers study topics like voting behavior of groups in elections, the roll call behavior of legislators, public opinion distribution, and the occurrence rate of wars and legislation. Collective biography uses standardized information for a large group to deduce patterns of thought and behavior.

Social history Social historians using quantitative methods (sometimes termed "new social historians", as they were "new" during the 1960s) use census data and other data sets to study entire populations. Topics include demographic issues such as population growth rates, rates of birth, death, marriage and disease, occupational and education distributions, genealogy and migrations and population changes. A challenging technique is that of associating occurrences of the name of a given person ("nominal record linkage") whose information appears in multiple sources such as censuses, city directories, employment files and voting registration lists. Cliodynamics is the application of scientific method to the study of history, combining insights from cultural evolution, macrosociology, and economic history/cliometrics to produce and analyse large quantitative datasets and identify general principles about the evolutionary dynamics and functioning of historical societies.

See also Cliodynamics Demographic history Digital history H-Net Historiometrics Modifiable temporal unit problem New economic history Qualitative geography Quantitative geography Time geography

References

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Worked examples

Example 1 — a first encounter with Quantitative history

Start with the simplest possible case. Write down what Quantitative history claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Quantitative history before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Quantitative history ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Quantitative history

In research
Quantitative history appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Quantitative history in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Quantitative history is common in secondary-school and first-year university syllabi. It links to neighbouring topics Fields of history, Quantitative research, Social science methodology, so understanding it makes those chapters shorter.
In everyday life
Look for Quantitative history outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Quantitative history in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Quantitative history means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Quantitative history out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Quantitative history in simple terms?

Quantitative history is a method of historical research that uses quantitative, statistical and computer resources. It is a type of the social science history and has four major journals: Historical Methods (1967– ), Journal of Interdisciplinary History (1968– ), the Social Science History (1976– )…

Why does Quantitative history matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Quantitative history?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Quantitative history.

Tags

  • Fields of history
  • Quantitative research
  • Social science methodology

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