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Library Research Guide for the History of Science: Introduction

  • What is a Primary Source?
  • Senior Theses 2023
  • Background and Context/Biography
  • Exploring Your Topic
  • Using HOLLIS
  • What is a Secondary Source?

Page Contents

Knowing a primary source when you see one, kinds of primary sources, find primary sources in hollis, using digital libraries and collections online, using bibliographies.

  • Exploring the Special Collections at Harvard
  • Citing Sources & Organizing Research

Primary sources provide first-hand testimony or direct evidence concerning a topic under investigation. They are created by witnesses or recorders who experienced the events or conditions being documented.

Often these sources are created at the time when the events or conditions are occurring, but primary sources can also include autobiographies, memoirs, and oral histories recorded later.

Primary sources are characterized by their content, regardless of the format available. (Handwritten notes could be published; the published book might be digitized or put on microfilm, but those notes are still primary sources in any format).

Some types of primary sources:

  • Original documents (excerpts or translations acceptable): Diaries, speeches, manuscripts, letters, interviews, news film footage, contemporary newspaper articles, autobiographies, official records, pamphlets, meeting notes, photographs, contemporary sketches
  • Creative works : Poetry, drama, novels, music, art 
  • Relics or artifacts : Furniture, clothing, buildings

Examples of primary sources include:

  • A poster from the Brotherhood of Sleeping Car Porters' 1962 strike
  • The papers of William James
  • A 1970 U.S. State Dept document updating Nixon on U.S.-Soviet space cooperation activities (Harvard login)
  • A British pamphlet: "Electric Lighting for Country Houses," 1898
  • Phineas Gage's skull
  • The text of J. Robert Oppenheimer's "Atomic Weapons" presentation to the American Philosophical Society

Outline of Primary Sources for History

Archives and Manuscripts

Archives and manuscripts are the unpublished records of persons (letters, notes, diaries, etc.) and organizations. What are Archives?   Usually each archival collection has a (short) catalog record and a detailed finding aid (which is often available online).

  • "Catalog record” refers to the kind of record found in library online catalogs, similar to those for books, although often a bit longer. Example of an Archive record .
  • “Finding aid” (sometimes called an inventory) generally refers to a list of the folder labels for the collection, accompanied by a brief collection overview (scope and contents note) and a biographical (or institutional) note on the creator of the collection.  Finding aids may be as long as needed given the size of the collection.  They vary considerably according to the practices of individual repositories. Example of a Finding aid .

To find  Archives and manuscripts  at Harvard, go to  HOLLIS Advanced search .  Search your keywords or Subject terms (see the  HOLLIS page of this guide ) in the Library Catalog, limiting to Resource Type: Archives/Manuscripts.  You can choose the library at the right (Search Scope).  Countway  Medicine has abundant medical archives, and Schlesinger has many archives of women activists, many in health and reproductive rights fields.    Sample search on Subject: Women health .

Library Research Guide for Finding Manuscripts and Archival Collections explains

  • How to find archives and manuscripts at Harvard
  • How to find archives and manuscripts elsewhere in US via search tools and via subject guides .
  • How to find archives and manuscripts in Europe and elsewhere.
  • Requesting digitization of archival material from Harvard and from other repositories .

For digitized archival material together with other kinds of primary sources:

  • Finding Primary Sources Online offers general instructions for finding primary sources online and a list of resources by region and country
  • Online Primary Source Collections for the History of Science lists digital collections at Harvard and beyond by topic.
  • Online Primary Source Collections for History lists digital collections at Harvard and beyond by topic.

Methods for finding books are described under the HOLLIS page  of this guide and in the Finding Primary Sources in HOLLIS box on this page. 

  • Book Reviews may give an indication as to how a scientific work was received. See:   Finding Book Reviews . 
  • Numerous, especially pre-1923 books (as well as periodicals and other sources) can be found and full text searched in several digital libraries (see box on this page).

Periodicals

Scientific articles :

Web of Science Citation Indexes (Harvard Login)  (1900- ) articles in all areas of science. Includes medical articles not in PubMed. You can use the Cited Reference search in the Web of Science to find primary source articles that cite a specified article, thus getting an idea of its reception. More information on the Web of Science .

PubMed (1946- ) covers, usually with abstracts, periodical articles on all areas of medicine. - --Be sure to look at the MeSH (Medical Subject Headings)  at the bottom of pertinent records. Very recent articles may not as yet received their MeSH terms.  So look at older records to find the MeSH terms, and use a variety of keywords as well as MeSH terms to find the new records. --​The MeSH terms are the same as the Medical Subject terms found in HOLLIS. --Hit Free article or Try Harvard Library, not the publisher's name to see full text

JSTOR (Harvard Login)  offers full-text of complete runs (up to about 5 years ago) of over 400 journals. JSTOR allows simultaneous or individual searching, full-text searching optional, numerous journals in a variety of fields of science and medicine. See the list at the bottom of the Advanced search screen. JSTOR searches the "Notes and News" sections of journals ( Science is especially rich in this material). In Advanced Search choose Item Type: Miscellaneous to limit largely to "Notes and News".

PsycINFO) (Harvard Login)  (1872- ) indexes the professional and academic literature in psychology and related disciplines

Many more scientific periodical indexes are listed in the Library Research Guide for the History of Science .

General interest magazines and periodicals see:

American Periodicals Series Online (Harvard Login)  (1740-1900) offers full text of about 1100 American periodicals. Includes several scientific and medical journals including the American Journal of Science and the Medical Repository. In cases where a periodical started before 1900, coverage is included until 1940.

British Periodicals (Harvard Login)  (1681-1920) offers full text for several hundred British periodicals.

Ethnic NewsWatch (Harvard Login)  (1959- ) is a full text database of the newspapers, magazines, and journals of the ethnic, minority and native press.

Periodicals Index Online (Harvard Login)  indexes contents of thousands of US and European journals in the humanities and social sciences, from their first issues to 1995.

Reader's Guide Retrospective (WilsonWeb) (Harvard Login)  (1890-1982)  indexes many American popular periodicals.

Many more general periodical indexes are listed in Finding Articles in General and Popular Periodicals (North America and Western Europe) .

Articles in non-science fields (religion, public policy): see the list in the Library Research Guide for History .

Professional/Trade : Aimed at particular trades or professions.  See the Library Research Guide for History

Newspaper articles : see the Guide to Newspapers and Newspaper Indexes .

Personal accounts . These are first person narratives recalling or describing a person’s life and opinions. These include Diaries, memoirs, autobiographies, and when delivered orally and recorded: Oral histories and Interviews.

National Library of Medicine Oral Histories

Regulatory Oral History Hub  (Kenan Institute for Ethics, Duke University) offers links to digital collections containing interviews with regulators, lawyers, and judges. Mainly U.S.

Visual sources :

Records for many, but by no means all, individual Harvard University Library images are available in  HOLLIS Images , an online catalog of images. Records include subjects and a thumbnail image.  HOLLIS Images is included in HOLLIS  searches.

Science & Society Picture Library offers over 50,000 images from the Science Museum (London), the National Museum of Photography, Film & Television and the National Railway Museum.

Database of Scientific Illustrators  (DSI) includes over 12500 illustrators in natural history, medicine, technology and various sciences worldwide, c.1450-1950. Living illustrators excluded. 

NYPL Digital Gallery Pictures of Science: 700 Years of Scientific and Medical Illustration

Images from the History of Medicine (IHM) includes prints and photographs from the U.S. National Library of Medicine. (The IHM is contained within a larger NLM image database, so this link goes to a specialized search).

Images From the History of the Public Health Service: a Photographic Exhibit .

Wellcome Images

Films/Videos

To find films in  HOLLIS , search your topic keywords, then on the right side of the results screen, look at Resource Type and choose video/film.

To find books about films about your topic, search your topic keywords AND "in motion pictures" ​  (in "")

​Film Platform  offers numerous documentary films on a wide variety of subjects.  There are collections on several topics. Searches can be filtered by topic, country of production, and language. 

A list of general sources for images and film is available in the Library Research Guide for History and additional sources for the history of science in Library Research Guide for the History of Science .

Government documents often concern matters of science and health policy.  For Congressional documents, especially committee reports, see ProQuest Congressional (Harvard Login ). 

HathiTrust Digital Library . Each full text item is linked to a standard library catalog record, thus providing good metadata and subject terms. The catalog can be searched separately.  Many government documents are full text viewable.  Search US government department as Author.

More sources are listed in the Library Research Guide for History

For artifacts and other objects , the Historic Scientific Instruments Collection in the Science Center includes over 15,000 instruments, often with contemporary documentation, from 1450 through the 20th century worldwide.

Waywiser, online database of the Collection of Historical Scientific Instruments .

Warren Anatomical Museum of the Center for the History of Medicine in the Countway Library of Medicine has a rich collection of medical artifacts and specimens.

Peabody Museum of Archaeology and Ethnology

Fall 2020: these collections are closed during the pandemic. Check out their links above to see what they have available online.

Primary Source Terms :

You can limit HOLLIS  searches to your time period, but sources may be published later, such as a person's diary published posthumously. Find these with these special Subject terms.

You can use the following terms to search HOLLIS for primary sources:

  • Correspondence
  • Description and travel
  • Manuscripts
  • Notebooks, sketchbooks, etc.
  • Personal narratives (refers to accounts of wars and diseases only)
  • Pictorial works
  • Sources (usually refers to collections of published primary sources)

Include these terms with your topical words in HOLLIS searches. For example: tuberculosis personal narratives

Online Primary Source Collections for the History of Science lists digital collections at Harvard and beyond by topic

Google Book Search, HathiTrust Digital Library and Internet Archives offer books and periodicals digitized from numerous libraries.  Only out-of-copyright, generally post-1923, books are fully viewable.  Each of these three digital libraries allows searching full text over their entire collections.

Google Book Search

HathiTrust Digital Library . Each full text item is linked to a standard library catalog record, thus providing good metadata and subject terms. The catalog can be searched separately.  Many post-1923 out-of-copyright books, especially government documents, are full text viewable. You can search within copyright books to see what page your search term is on.

Internet Archive now offers a beta full text search. Put your terms (phrases or personal names, in quotation marks (""), work best) in the search box. 

The Online Books Page arranges electronic texts by Library of Congress call numbers and is searchable (but not full text searchable).  Includes books not in Google Books, HathiTrust, or Internet Archive. Has many other useful features.

Medical Heritage Library . Information about the Medical Heritage Library. Now searchable full text.

UK Medical Heritage Library

Biodiversity Heritage Library

Contagion: Historical Views of Diseases and Epidemics (1493-1922) provides digitized historical, manuscript, and image resources selected from Harvard University libraries and archives.

Expeditions and Discoveries (1626-1953) features nine expeditions in anthropology and archaeology, astronomy, botany, and oceanography in which Harvard University played a significant role. Includes manuscripts and records, published materials, visual works, and maps from 14 Harvard repositories.

Defining Gender Online: Five Centuries of Advice Literature for Men and Women (1450-1910).

Twentieth Century Advice Literature: North American Guides on Race, Sex, Gender, and the Family.

Many more general History digital libraries and collections: Library Research Guide for History

More History of Science digital libraries: Library Research Guide for the History of Science .

There may already be a detailed list of sources (a bibliography) for your topic.

For instance:

A bibliography of eugenics , by Samuel J. Holmes ... Berkeley, Calif., University of California press, 1924, 514 p. ( University of California publications in zoology . vol. XXV)  Full text online .

Look for specialized subject bibliographies in HOLLIS Catalog . Example .   WorldCat can do similar searches in the Subject Keyword field for non-Harvard holdings.

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What Is a Primary Source?

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In research and academics, a primary source refers to information collected from sources that witnessed or experienced an event firsthand. These can be historical documents , literary texts, artistic works, experiments, journal entries, surveys, and interviews. A primary source, which is very different from a secondary source , is also called primary data.

The Library of Congress defines primary sources as "the raw materials of history—original documents and objects which were created at the time under study," in contrast to secondary sources , which are "accounts or interpretations of events created by someone without firsthand experience," ("Using Primary Sources").

Secondary sources are often meant to describe or analyze a primary source and do not give firsthand accounts; primary sources tend to provide more accurate depictions of history but are much harder to come by.

Characteristics of Primary Sources

There are a couple of factors that can qualify an artifact as a primary source. The chief characteristics of a primary source, according to Natalie Sproull, are: "(1) [B]eing present during the experience, event or time and (2) consequently being close in time with the data. This does not mean that data from primary sources are always the best data."

Sproull then goes on to remind readers that primary sources are not always more reliable than secondary sources. "Data from human sources are subject to many types of distortion because of such factors as selective recall, selective perceptions, and purposeful or nonpurposeful omission or addition of information. Thus data from primary sources are not necessarily accurate data even though they come from firsthand sources," (Sproull 1988).

Original Sources

Primary sources are often called original sources, but this is not the most accurate description because you're not always going to be dealing with original copies of primary artifacts. For this reason, "primary sources" and "original sources" should be considered separate. Here's what the authors of "Undertaking Historical Research in Literacy," from Handbook of Reading Research , have to say about this:

"The distinction also needs to be made between primary and original sources . It is by no means always necessary, and all too often it is not possible, to deal only with original sources. Printed copies of original sources, provided they have been undertaken with scrupulous care (such as the published letters of the Founding Fathers), are usually an acceptable substitute for their handwritten originals." (E. J. Monaghan and D. K. Hartman, "Undertaking Historical Research in Literacy," in Handbook of Reading Research , ed. by P. D. Pearson et al. Erlbaum, 2000)

When to Use Primary Sources

Primary sources tend to be most useful toward the beginning of your research into a topic and at the end of a claim as evidence, as Wayne Booth et al. explain in the following passage. "[Primary sources] provide the 'raw data' that you use first to test the working hypothesis and then as evidence to support your claim . In history, for example, primary sources include documents from the period or person you are studying, objects, maps, even clothing; in literature or philosophy, your main primary source is usually the text you are studying, and your data are the words on the page. In such fields, you can rarely write a research paper  without using primary sources," (Booth et al. 2008).

When to Use Secondary Sources

There is certainly a time and place for secondary sources and many situations in which these point to relevant primary sources. Secondary sources are an excellent place to start. Alison Hoagland and Gray Fitzsimmons write: "By identifying basic facts, such as year of construction, secondary sources can point the researcher to the best primary sources , such as the right tax books. In addition, a careful reading of the bibliography in a secondary source can reveal important sources the researcher might otherwise have missed," (Hoagland and Fitzsimmons 2004).

Finding and Accessing Primary Sources

As you might expect, primary sources can prove difficult to find. To find the best ones, take advantage of resources such as libraries and historical societies. "This one is entirely dependent on the assignment given and your local resources; but when included, always emphasize quality. ... Keep in mind that there are many institutions such as the Library of Congress that make primary source material freely available on the Web," (Kitchens 2012).

Methods of Collecting Primary Data

Sometimes in your research, you'll run into the problem of not being able to track down primary sources at all. When this happens, you'll want to know how to collect your own primary data; Dan O'Hair et all tell you how: "If the information you need is unavailable or hasn't yet been gathered, you'll have to gather it yourself. Four basic methods of collecting primary data are field research, content analysis, survey research, and experiments. Other methods of gathering primary data include historical research, analysis of existing statistics, ... and various forms of direct observation," (O'Hair et al. 2001).

  • Booth, Wayne C., et al. The Craft of Research . 3rd ed., University of Chicago Press, 2008.
  • Hoagland, Alison, and Gray Fitzsimmons. "History."  Recording Historic Structures. 2nd. ed., John Wiley & Sons, 2004.
  • Kitchens, Joel D. Librarians, Historians, and New Opportunities for Discourse: A Guide for Clio's Helpers . ABC-CLIO, 2012.
  • Monaghan, E. Jennifer, and Douglas K. Hartman. "Undertaking Historical Research in Literacy." Handbook of Reading Research. Lawrence Erlbaum Associates, 2002.
  • O'Hair, Dan, et al. Business Communication: A Framework for Success . South-Western College Pub., 2001.
  • Sproull, Natalie L. Handbook of Research Methods: A Guide for Practitioners and Students in the Social Sciences. 2nd ed. Scarecrow Press, 1988.
  • "Using Primary Sources." Library of Congress .
  • Secondary Sources in Research
  • Primary and Secondary Sources in History
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Introduction to primary source research, definitions, examples of primary sources by discipline, head of bancroft public services.

  • Archives terminology
  • How to use library catalogs
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  • How to plan your visit to an archive
  • Using digitized primary sources
  • Evaluating primary sources

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A primary source is an eyewitness account of an event or data obtained through original statistical or scientific research. 

What are some examples of primary sources?

  • Photographs
  • Official records (government reports, transcripts, court records, death certificates, etc.)
  • Contemporary news reports (newspapers, telecasts, radio addresses, etc.)
  • Polls and Public Opinion Data
  • Laws, statutes, hearings

Secondary Source

A secondary source interprets and analyzes primary sources. These sources are one or more steps removed from the event. Secondary sources may include pictures of primary sources or quotes from them. Some types of secondary sources include: journal/magazine articles, textbooks, commentaries, and encyclopedias.

Newspapers may be either primary or secondary. Most articles in newspapers are secondary, but reporters may be considered as witnesses to an event.  Any topic on the media coverage of an event or phenomenon would treat newspapers as a primary source. 

Source: https://guides.libraries.indiana.edu/primarysources

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Information

Primary sources.

  • What is a Primary Source
  • Locating Primary Source Materials
  • Using Primary Sources
  • Digital Primary Sources
  • Historic Newspapers
  • Historic Census Data and Statistics

What is a Primary Source?

Examples of Primary Sources

Definition of Primary Sources:  

A primary source is a piece of evidence created during the time you are studying. These sources offer an eye-witness view of a particular event. They can be any type of format, as long as you as the researcher are looking for the source's context: Who made this, and what was their perspective? What other sources describe the same events? Whose perspective isn't represented, and where can you find it? What was the world like when this thing was made? With primary sources, you will ask a lot of questions!

Some common types of records used as primary sources include:

  • Original Documents , including eyewitness accounts or the first record of events such as diaries, speeches, letters, manuscripts, interviews, news film footage, autobiographies, or official records
  • Creative Works such as literature, music, art, film, etc.
  • Relics or Artifacts such as pottery, furniture, clothing, and buildings
  • Data from original research whether statistical or scientific

Remember: you have to find context for your primary sources.

What is a Secondary Source?

Definition of a secondary source:.

A secondary source interprets and analyzes primary sources. Secondary sources may have pictures, quotes or graphics of primary sources in them. Some common types of secondary sources include:

  • A journal/magazine article which interprets or reviews previous findings 
  • A history textbook 
  • A book about the effects of WWI 
  • Biographies
  • Encyclopedia articles

Remember: a secondary source is making an argument based on research from other primary and secondary sources.

Primary Sources by Discipline

Different academic disciplines have different definitions of what constitutes a primary source:.

In the Humanities (history, literature, religion), primary sources focus on original documents or accounts contemporary to a specific event or an individual’s life. Terms such as “eyewitness” or “firsthand” are also commonly used to describe these sources. Autobiographical accounts written at a later date are also considered primary sources. Letters, diaries, journal entries, public records as well as contemporaneous newspapers articles offer solid examples of this type of primary source. Fictional works such as short stories or novels written during that specific time period constitute primary documents, too.

In the Arts (art, dance, music, theatre), primary sources are as diverse as the various disciplines in the category. They may include paintings, sculpture, prints, performances, video or audio recordings, scripts, or musical scores. Social Sciences (psychology, sociology, education) place a heavy emphasis on unanalyzed data sets as primary sources. Numerical data sets such as census figures, opinion polls, surveys or interview transcripts constitute this type of raw, uninterpreted data. A researcher’s field notes are also primary sources in the social sciences. In the Sciences (biology, ecology, chemistry), primary source documents focus on original research, ideas, or findings published in academic journals. These articles mark the first publication of such research; and they detail the researcher’s methodology and results. Plant or mineral samples and other artifacts are primary sources as well.

In STEM fields , primary sources may include papers or proceedings from scientific conferences; journal articles sharing original research, technical reports, patents, lab notes, and researcher correspondence or diaries.

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Is it a primary source?

Are you using a primary source?

It depends on the questions you're asking!

Primary or Secondary?

Primary Resources Presentation Slides

Primary vs. secondary sources, differentiating primary and secondary sources in each discipline.

While primary sources offer a firsthand account, secondary sources are written after the fact. Secondary sources analyze, interpret, explain, or analyze a primary source, event or individual. These resources represent a second publication cycle, tasked with presenting an argument or to persuade the reader.

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Primary Sources: What They Are and Where to Find Them

What is a primary source.

  • Finding Primary Sources in the UWRF Library

A primary source is an original object or document created during the time under study.   Primary sources vary by discipline and can include historical and legal documents, diaries, letters, family records, speeches, interviews, autobiographies, film, government documents, eye witness accounts, results of an experiment, statistical data, pieces of creative writing, and art objects. In the natural and social sciences, the results of an experiment or study are typically found in scholarly articles or papers delivered at conferences, so those articles and papers that present the original results are considered primary sources.  

A secondary source is something written about a primary source. Secondary sources include comments on, interpretations of, or discussions about the original material. You can think of secondary sources as second-hand information. If I tell you something, I am the primary source. If you tell someone else what I told you, you are the secondard source. Secondary source materials can be articles in newspapers or popular magazines, book or movie reviews, or articles found in scholarly journals that evaluate or criticize someone else's original research.

Research versus Review

Scientific and other peer reviewed journals are excellent sources for primary research sources. However, not every article in those journals will be an article with original research. Some will include book reviews and other materials that are more obviously secondary sources . More difficult to differentiate from original research articles are review articles . Both types of articles will end with a list of References (or Works Cited). Review articles are often as lengthy or even longer that original research articles. What the authors of review articles are doing is analysing and evaluating current research or investigations related to a specific topic, field, or problem. They are not primary sources since they review previously published material. They can be helpful for identifying potentially good primary sources, but they aren't primary themselves. Primary research articles can be identified by a commonly used format. If an article contains the following elements, you can count on it being a primary research article. Look for sections entitled Methods (sometimes with variations, such as Materials and Methods), Results (usually followed with charts and statistical tables), and Discussion . You can also read the abstract to get a good sense of the kind of article that is being presented. If it is a review article instead of a research article, the abstract should make that clear. If there is no abstract at all, that in itself may be a sign that it is not a primary resource. Short research articles, such as those found in Science and similar scientific publications that mix news, editorials, and forums with research reports, may not include any of those elements. In those cases look at the words the authors use, phrases such as "we tested," "we used," and "in our study, we measured" will tell you that the article is reporting on original research.

Primary or Secondary: You Decide

The distinction between types of sources can get tricky, because a secondary source may also be a primary source. DoVeanna Fulton's book on slave narratives, for example, can be looked at as both a secondary and a primary source. The distinction may depend on how you are using the source and the nature of your research. If you are researching slave narratives, the book would be a secondary source because Fulton is commenting on the narratives. If your assignment is to write a book review of Speaking Power , the book becomes a primary source, because you are commenting, evaluating, and discussing DoVeanna Fulton's ideas.

You can't always determine if something is primary or secondary just because of the source it is found in. Articles in newspapers and magazines are usually considered secondary sources. However, if a story in a newspaper about the Iraq war is an eyewitness account, that would be a primary source. If the reporter, however, includes additional materials he or she has gathered through interviews or other investigations, the article would be a secondary source. An interview in the Rolling Stone with Chris Robinson of the Black Crowes would be a primary source, but a review of the latest Black Crowes album would be a secondary source. In contrast, scholarly journals include research articles with primary materials, but they also have review articles that are not, or in some disciplines include articles where scholars are looking at primary source materials and coming to new conclusions.

For your thinking and not just to confuse you even further, some experts include tertiary sources as an additional distinction to make. These are sources that compile or, especially, digest other sources. Some reference materials and textbooks are considered tertiary sources when their chief purpose is to list or briefly summarize or, from an even further removed distance, repackage ideas. This is the reason that you may be advised not to include an encyclopedia article in a final bibliography.

The above material was adapted from the excellent explanation written by John Henderson found on Ithaca College's library website http://www.ithacalibrary.com/sp/subjects/primary and is used with permission.

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Primary Source Research and Discovery

  • What are archives?
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What are Primary Sources?

Primary sources.

A primary source provides direct or firsthand evidence about an event, object, person, or work of art. Primary sources include historical and legal documents, eyewitness accounts, results of experiments, statistical data, pieces of creative writing, audio and video recordings, speeches, and art objects. Interviews, surveys, fieldwork, and Internet communications via email, blogs, listservs, and newsgroups are also primary sources. In the natural and social sciences, primary sources are often empirical studies—research where an experiment was performed or a direct observation was made. The results of empirical studies are typically found in scholarly articles or papers delivered at conferences.

Secondary Sources

Secondary sources describe, discuss, interpret, comment upon, analyze, evaluate, summarize, and process primary sources. Secondary source materials can be articles in newspapers or popular magazines, book or movie reviews, or articles found in scholarly journals that discuss or evaluate someone else's original research. 

Definition courtesy of  Ithaca College Library Research Guide , Primary vs Secondary section.

Clues for Identifying Primary Sources

Clues for identifying primary source characteristics.

Characteristics of Primary Sources

  • Primary sources can either be first-hand observation/analysis or accounts contemporary with the events described.
  • Primary sources document events, people, viewpoints of the time.
  • When research is more era, rather than event-driven, the scope of possible primary sources broadens considerably.
  • Primary sources represent one person's perspective; frequently will be used with  secondary/tertiary  sources to broaden the lens through which a researcher is looking at an event, era, or phenomenon.
  • It is important when using anything as a primary source that the researcher be cognizant of and sensitive to the bias of the observer/analyzer that created the primary source, and also to the broader cultural biases of the era in which the primary source was created.
  • The researcher's perspective, or the arguments or points for which a researcher plans to use a primary source as evidence, is significant in determining what sources will be primary.
  • Reproductions of primary sources remain primary for many research purposes.
  • Some attributes are based more on the perspective represented in the source and context in which the source is being used by researcher.

Bullet points courtesy of The University of California at Irvine Libraries .

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Primary, Secondary, Tertiary Examples

Primary, secondary, tertiary sources.

The infographic below gives the definition, characteristics, and examples of primary, secondary and tertiary sources. Notice, journal articles are listed for the sciences as a primary source and a secondary source for non-scientific disciplines. At the top of the graphic is the publishing timeline . As you can see primary sources are generally published first, then secondary sources. In the research timeline , secondary sources are generally consulted first to provide needed context for primary source research.

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Primary sources are original records created at the time historical events occurred or well after events in the form of memoirs or oral histories. They enable researchers to get as close as possible to what actually happened during an historical event or time period to help them understand and interpret the past. (See  definition  from the American Library Association's Reference & User Services Association's History Section.)

Examples of primary sources include diaries, speeches, letters, memos, manuscripts, and other papers; memoirs and autobiographies; records of information collected by government agencies and organizations; published materials (books, magazine and journal articles, newspaper articles) written at the time; photographs, audio recordings, and moving pictures or video recordings; research data; and objects or artifacts. 

Primary sources vary by discipline. In history, primary sources are original records that provide firsthand evidence to understand a historical event or period. In literature, primary sources are the original texts (e.g., novels, short stories, plays, etc.). In the arts, primary sources are original works of art or music. In the natural or social sciences, the results of an experiment or study are typically found in scholarly articles or conference papers; these articles and papers that present original results are considered primary sources.

Primary sources are found in a variety of formats: original documents in archives and libraries; materials reprinted in published sources, such as collections of letters, diaries, or autobiographies; microforms; digitized on the Web, or recordings. This guide emphasizes primary sources available online through library subscription databases and free Web sites.

Some examples of types and formats for primary sources include:

  • Books such as personal narratives, memoirs, and autobiographies, collected works, and collections of documents (these may be edited and published after the historical event or time period)
  • Journal and magazine articles  
  • Newspaper articles  
  • Government documents
  • Archival sources  such as diaries, interviews, letters, memos, manuscripts, and other papers and records of organizations
  • Multimedia sources such as photographs, audio recordings, and motion pictures or video recording

Use the above tabs to locate primary sources of these different types and formats. The Online Primary Sources tab/page lists primary sources found in library subscription databases and on free Web sites that are varied in type and do not fit one of the above tab categories.

Secondary sources are any published or unpublished works that are a step removed from original sources, usually describing, summarizing, analyzing, evaluating, derived from, or based on primary sources. Some examples of secondary sources are: histories about a topic, works of criticism and interpretation, monographs, textbooks, biographies, dictionaries and encyclopedias, handbooks and manuals, bibliographies, and directories. (See definition from ABC-CLIO Online Dictionary for Library and Information Science.)

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Primary Sources Research Guide

  • What Are Primary Sources?
  • What Are Secondary Sources?
  • Examples of Primary & Secondary Sources
  • Where to Look for Primary Sources

Get Primary Sources by Subject

Many library subject guides contain sections on primary sources for those subjects. BELOW you can also see a list of research guides that have been tagged "primary sources."

Still have questions? Please get in touch with the librarian for your subject area for more information about specific primary sources in your field.

Defining Primary Sources

  • Primary sources are original materials that provide direct evidence or first-hand testimony concerning a topic or event -- firsthand records created by people who actually participated in or remembered an event and reported on the event and their reactions to it.
  • Primary sources can be contemporary sources created at the time when the event occurred (e.g., letters and newspaper articles) or later (such as, memoirs and oral history interviews).
  • Primary sources may be published or unpublished. Unpublished sources include unique materials (e.g., family papers) often referred to as archives and manuscripts.
  • What constitutes a primary source varies by discipline -- see Primary Sources by Discipline below . How the researcher uses the source generally determines whether it is a primary source or not.

*This material is used with permission from the University of Pittsburgh Library's research guide on Primary Sources

Primary Sources by Discipline

The definition of a primary source varies depending upon the academic discipline and the context in which it is used.

1. In the humanities , a primary source could be defined as something that was created either during the time period being studied or afterward by individuals reflecting on their involvement in the events of that time.

research papers on primary sources

Examples from the humanities:  

Art: painting, photograph, print, sculpture, film or other work of art, sketch book, architectural model or drawing, building or structure, letter,  organizational records, personal account by artist History: artifact, diary, government report, interview, letter, map, news report, oral history, organizational records, photograph, speech, work of art Literature: interview, letter, manuscript, personal account by writer, poem, work of fiction or drama, contemporary review Music: score, sound recording, contemporary review, letter, personal account by composer or musician

2. In the social sciences , the definition of a primary source would be expanded to include numerical data that has been gathered to analyze relationships between people, events, and their environment.  

research papers on primary sources

Examples from the social sciences: 

Anthropology: artifact, field notes, fossil, photograph Business: market research or surveys, anything that documents a corporation's activities, such as annual reports, meeting minutes, legal documents, marketing materials, and financial records. Communication: websites, blogs, broadcast recordings and transcripts, advertisements and commercials, public opinion polls, and magazines (e.g., Rolling Stone ). Economics: company statistics, consumer survey, data series Geography: field notes, census data, maps, satellite images, and aerial photographs. Law: code, statute, court opinion, legislative report Psychology: case study, clinical case report, experimental replication, follow-up study, longitudinal study, treatment outcome study Sociology: cultural artifact, interview, oral history, organizational records, statistical data, survey

3. In the natural sciences , a primary source could be defined as a report of original findings or ideas. These sources often appear in the form of research articles with sections on methods and results.

research papers on primary sources

Examples in the natural sciences:

Biology, Chemistry, etc: research or lab notes, genetic evidence, plant specimens, technical reports, and other reports of original research or discoveries (e.g., conference papers and proceedings, dissertations, scholarly articles).

*This material is used with permission from the Lafayette College Library research guide on primary sources . Image 1: "Massachusetts Bay Colony 1776"  CC BY-NC-ND 2.0 Tom Woodward: Flickr Image 2: "data"  CC BY-NC-ND 2.0 CyberHades: Flickr Image 3: "Katydid 50x Magnification Wing, Coventry, CT"  CC BY-NC-ND 2.0 Macroscopic Solutions: Flickr

Examples of Primary Sources

Primary sources typically include such items as:

  • manuscripts, letters, first-person diaries, memoirs, personal journals, interviews, speeches, oral histories, and other materials individuals used to describe events in which they were participants or observers. Many of these materials frequently are referred to as " papers ";
  • records of government agencies and other organizations, including such documents as parliamentary debates, proceedings of organization meetings, conferences, etc. Many of these materials frequently are referred to as " archives ";
  • original documents such as birth certificates, marriage and baptismal registers, wills, trial transcripts, etc.;
  • published materials written at the time of the event, including newspapers, news magazines, advertising, cartoons, and other ephemeral publications such as pamplets and flyers;
  • contemporary creative works of literature, art, and music, such as novels, paintings, compositions, poems, etc.;
  • contemporary photographs, maps, audio recordings, television and radio broadcasts, and moving pictures;
  • Internet communications including email, listservs, and blogs;
  • statistical and numeric data collected by various government and private agencies, including census data, opinion polls, and other surveys;
  • research reports and case studies in the sciences or social sciences;
  • artifacts of all kinds such as coins, clothing, fossils, furniture, and musical instruments from the time period under study

Primary sources sometimes can be ambiguous and contradictory, relecting a specific person's opinions and contemporary cultural influences on them. For that very reason such sources are invaluable tools for developing your own interpretations and reaching your own conclusions about what is going on at a point in time.

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I have to write a research paper using primary sources. where do i start.

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Primary sources are created by individuals who participated in or witnessed an event and recorded that event during or immediately after the event.

Explanation:

A student activist during the war writing about protest activities has created a memoir. This would be a primary source because the information is based on her own involvement in the events she describes. Similarly, an antiwar speech is a primary source. So is the arrest record of student protesters. A newspaper editorial or article, reporting on a student demonstration is also a primary source.

Deeds, wills, court documents, military records, tax records, census records, diaries, journals, letters, account books, advertisements, newspapers, photographs, and maps are primary sources.

Secondary sources are created by someone who was either not present when the event occurred or removed from it in time. We use secondary sources for overview information, and to help familiarize ourselves with a topic and compare that topic with other events in history.

History books, encyclopedias, historical dictionaries, and academic articles are secondary sources.

If you've never written a research paper using primary sources, it is important to understand that the process is different from using only secondary sources. Many students discover that finding and gaining access to primary source documents can be difficult. The Library website has a valuable guide to locating primary source documents. Follow the link below to be redirected to that guide:

https://libguides.furman.edu/resources/primary-sources

  • Students are encouraged to seek help from the Special Collections Librarian or Research Librarians to aid in their research projects. Librarians will be able to aid students in a variety of ways including helping to locate primary source materials.

After locating appropriate primary sources, it is necessary for students to analyze and interpret them. To many students, this task can seem arduous, if not overwhelming. There are many resources available in the library as well as online, which are helpful. The National Archives website has very useful analysis worksheets that can help students to determine the significance of primary source documents. Links to PDF files of these worksheets are listed below:

Written Document | Artifact | Cartoon | Map | Motion Picture | Photograph | Poster | Sound Recording

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Characteristics

Primary source articles have these qualities: 

  • Report original research, ideas, an/or first-time scientific discoveries
  • Report experiments or research findings, results, and/or data
  • Referred to as primary research, primary articles, primary literature, or research studies
  • Appear in peer-reviewed or scholarly journals
  • Include the research methodology, e.g. p rimary research relies on direct data collection
  • Include methods, results, and discussion sections
  • Are factual instead of interpretive and don't replicate other studies

Secondary source articles have these qualities: 

  • Report the significance of research or experiments
  • Review the results of several experiments or trials
  • Include meta-analyses, systematic reviews, or literature reviews
  • Analysis of clinical trials
  • Non articles, e.g. letters to the editor, editorials, etc.

Tertiary sources have these qualities: 

  • Combine both primary and secondary source material
  • Provide context or background information on a topic
  • Examples typically are encyclopedias, dictionaries, textbooks, etc.

Where to Find Primary and Secondary Source Articles

Indexes to disciplinary literature are tertiary sources (a combination of primary and secondary sources), and they can be an effective tool for finding primary sources. 

  • Biology Biological Abstracts is for earth science literature biology literature
  • Chemistry SciFinder is for earth chemistry literature
  • Physics AIP Scitation is for physics literature
  • Geology GeoRef is for earth science literature
  • Environmental Sciences Environment Index is for environmental literature

Primary Sources in the Sciences

Primary sources are articles that disseminate  original  research results.  .

Source: The Evolution of Scientific Information (from  Encyclopedia of Library and Information Science , vol. 26). Retrieved from   https://library.albany.edu/infolit/prisci

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Primary sources are materials that were either created during the time period being studied or were created at a later date by a participant in the events being studied, such as, a childhood memoir. They are original documents [i.e., they are not about another document or account] and reflect the individual viewpoint of a participant or observer. Primary sources represent direct, uninterpreted records of the subject of your research study.

NOTE: Information about identifying and using primary resources materials, particularly those held in the USC Libraries, can be found in the Libraries Primary Sources Research Guide .

Value of Primary Sources

Primary sources enable you to get as close as possible to understanding the lived experiences of others and discovering what actually happened during an event. However, what constitutes a primary or secondary source depends on the context in which it is being used. For example, David McCullough’s biography of John Adams could be a secondary source for a paper about John Adams, but a primary source for a paper about how various historians have interpreted the life of John Adams. When in doubt, ask a librarian for assistance!

Reviewing primary source material can be of value in improving your overall research paper because they :

  • Are original materials,
  • Were created from the time period involved,
  • Have not been filtered through interpretation or evaluation by others, and
  • Represent original thinking or experiences, reporting of a discovery, or the sharing of new information.

Examples of primary documents you could review as part of your overall study include :

  • Artifacts [e.g. furniture or clothing, all from the time under study]
  • Audio recordings [e.g. radio programs]
  • Internet communications on email, listservs, blogs, Twitter, Facebook, and other social media platforms
  • Interviews [e.g., oral histories, telephone, e-mail]
  • Newspaper articles written at the time
  • Original official documents [e.g., birth certificate, will, marriage license, trial transcript]
  • Personal correspondence [e.g., letters]
  • Photographs
  • Proceedings of meetings, conferences and symposia
  • Records of organizations, government agencies [e.g. annual report, treaty, constitution, government document]
  • Survey Research [e.g., market surveys, public opinion polls]
  • Transcripts of radio and television programs
  • Video recordings
  • Works of art, architecture, literature, and music [e.g., paintings, sculptures, musical scores, buildings, novels, poems]

Bahde, Anne. Using Primary Sources: Hands-On Instructional Exercises . Santa Barbara, CA: Libraries Unlimited, 2014; Brundage, Anthony. Going to the Sources: A Guide to Historical Research and Writing . Malden, MA: Wiley Blackwell, 2013; Daniels, Morgan and Elizabeth Yakel. “Uncovering Impact: The Influence of Archives on Student Learning.” Journal of Academic Librarianship 39 (September 2013): 414-422; Krause, Magia G. “Undergraduates in the Archives: Using an Assessment Rubric to Measure Learning.” The American Archivist 73 (Fall/Winter 2010): 507-534; Rockenbach, Barbara. “Archives, Undergraduates, and Inquiry-Based Learning: Case Studies from Yale University Library.” The American Archivist 74 (Spring/Summer 2011): 297-311; Weiner, Sharon A., Sammie Morris , and Lawrence J. Mykytiuk. "Archival Literacy Competencies for Undergraduate History Majors." The American Archivist 78 (Spring/Summer 2015): 154-180.

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Primary source research, primary sources at marquette, what is a primary source, is it a primary source, what are some examples of primary sources.

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This is introductory description of what can be considered a primary source for the purposes of a research paper. Students and faculty have access to a wide range of primary source databases. It is highly recommended that student contact a liaison librarian for a research consultation when undertaking a research project using these sources. See the link below to set up a consult:

  • Schedule a Research Consultation

There are many resources for primary source materials at Marquette. Physical examples of these include newspaper microfilms, government or non-profit reports, reproductions of historical documents or text, and published diaries or autobiographies. The link below connects to digitized primary sources databases that can accessed by Marquette students and faculty. Please use the research consultation link above for guidance on any of these materials. 

  • Primary source digital collections at Marquette Primary source sigital collections are databases where the bulk of materials are documents and objects that provide first-hand documentation of events. Follow this link to view primary source digital collections at the library catalog where you can find database descriptions and links to connect to the databases themselves.
  • Historical publication digital collection at Marquette Historical publication digital collections are databases where the bulk of their materials are printed texts published before 1900. Follow this link to view historical publication digital collections at the library catalog where you can find database descriptions and links to connect to the databases themselves.

A primary source is a first-hand or contemporary account of an event. Primary sources date to the time an event took place and offer original account or thoughts on a topic that has not been framed by second-hand interpretation. Primary sources are usually original materials, but they may be reproduced digitally or republished in a physical format.  

This guide from Fresno State University can help you determine if something is a Primary Source.  If you answer 'yes' to any of the following questions, the resource is most like a Primary Source. 

  • Did the author personally witness or experience the subject in question?
  • Does the author know about this subject because of personal experience rather than having just read about it?
  • Is this source a diary, letter, memoir, autobiography, oral history, or interview of a person with first hand experience of the subject?
  • Is this source an official document or record published at the time of the event by the government, courts, or another organization?
  • Is this source a newspaper or magazine article written at the time of the event?
  • Is this a creative work such as a novel, poem, art or music piece created by a firsthand witness of the subject in question?
  • Is this an excerpt from a primary source, such as the constitution or a letter written by a Civil War soldier that has been imbedded in a secondary source, such as a textbook? Remember, secondary sources may include reprints of primary sources.
  • Is this an artifact or relic such as jewelry, pottery, clothing, music, art, architecture, dance or weaponry that was used by witnesses of the subject in question?
  • Is this a compilation of raw scientific data or statistics, such as census statistics published by the U.S. Census Bureau, that is being published without commentary or interpretation?
  •  newspapers or other news accounts
  •  personal accounts in diaries, letters, interviews, or oral histories
  •  government documents or publications
  •  speeches
  •  photographs/ video footage
  •  internal organizational documents
  •  memoirs or autobiographies
  •  novels, poems, or other works of art

Please note that, in the correct context, many things that are typically considered to be Secondary Sources - such as autobiographies or books about an event or historical period - can also be considered primary sources. For example, if you are writing an analysis of how historians have viewed a certain event over time, written histories on the event can be used as primary sources. 

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Finding primary sources.

Primary Sources from DocsTeach Thousands of online primary source documents from the National Archives to bring the past to life as classroom teaching tools.

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Research Papers 101: Source roles: primary, secondary, and tertiary

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Source roles: primary, secondary, tertiary

Defining sources by their relationship to the topic.

One important consideration when we are evaluating how useful and authoritative a source is in a given context is to consider the source's role, or its relationship to the topic.

Is this source a kind of raw, unfiltered evidence that needs to be analyzed and put into context? Because they provide firsthand evidence of a topic, these types of sources are called primary sources .

Is this source an outside observer who can compile and analyze the evidence and provide an overall, bird's-eye view of the situation? These secondhand compilers, commenters, and analyzers are called secondary sources .

There's a third type of source which aims to make the information and expertise provided by secondary sources accessible to people who are new to the topic, whether by offering a dictionary or a glossary of key terms, or summarizing the various issues that make up the larger discussion about the topic. These types of sources can be called tertiary sources .

Each of these source types is suitable for certain purposes, but inappropriate for others, as a result of the nature of their relationship to the given topic.

Primary sources: Firsthand accounts;

Direct, undigested evidence.

Primary sources are sources that provide raw evidence or direct testimony about a topic. A primary source could be an eyewitness account of historical events, or it could be a historical object or a painting.

It is oftentimes the case that a source of information may not have enough credibility to serve as a secondary source, but can be used as a primary source.

( NOTE: There are any number of reasons why a primary source might not be considered 100% reliable just by itself; a major role of secondary sources is to put primary sources in context and evaluate their usefulness and reliability.)

One useful way to think about how to appropriately use primary and secondary sources is to remember: primary sources get analyzed , while secondary sources do the analyzing .

For example, a Youtube video may not have enough authoritativeness to be used as a reliable source of information about a topic, but it can get analyzed by a secondary source as an example of what discourse exists on Youtube about that topic.

(This is an important but subtle distinction: proving something about the topic vs. proving something about the discourse about that topic --not the same thing!)

Secondary sources: Analyzing the Topic From Afar

Secondary sources analyze the events or topic in question from afar, bringing together the evidence from multiple primary sources and other secondary sources to put the topic in context and provide deep analysis.

Examples of secondary sources include:

  • A print or TV journalist reporting the news
  • A review of an artist's new album, an author's new book, or a museum exhibit
  • A technical manual showing how to repair and maintain a piece of equipment
  • A scholarly article or books which analyzes a topic in great depth and carefully supporting its arguments using a large number of other sources

One problem we constantly run into when dealing with secondary sources is evaluating source credibility/authoritativeness .

In theory, the category of secondary sources could include all kinds of sources that comment on a topic secondhand, including social media, blog posts, newspapers, and Youtube videos.

However, many college instructors when assigning papers will use the term secondary sources as a shorthand for authoritative sources , or--in higher level college classes especially--assume a shared understanding that the only sources that satisfy a requirement for "10 secondary sources" are scholarly sources .

(It is always best to seek clarification from the instructor if you are unclear about an assignment's requirements.)

The authority of a given secondary source (as the ACRL's Framework for Information Literacy for Higher Education reminds us) is always going to be Constructed and Contextual .

In the context of academic writing (or writing for a scholarly audience), it is however possible to create a general ranking/hierarchy of secondary source types based on how authoritative they are considered to be.

Tertiary sources: dictionaries, reference books, and introductory textbooks

Tertiary books are the best kind of book to consult if you are entering into a topic for the first time.

Reference works such as encyclopedias, dictionaries, and bibliographies can offer a brief overview of a wide variety of topics you may be interested in researching, quickly bringing you up-to-speed on the history of research (or historiography) of your chosen topic, pointing the way to other important primary and secondary sources, and allowing you engage in the broader conversation about that topic among scholars.

At the same time, instructors are generally not looking for a citation to a tertiary source when they ask for "X number of scholarly articles." While many tertiary sources are produced by scholars (and so, in a technical sense, are scholarly ), their relationship to the knowledge created by academic scholarship is to compile and summarize that knowledge, rather than to create new knowledge and understanding (as is the expectation with secondary source scholarly articles and books.)

In academic writing, it is generally considered better to consult (and give credit to) the original source of the arguments and information we wish to engage with. This means (for example) consulting the original research article rather than a summary of it, or the actual book some information is discussed in rather than just a book review.

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Organizing Academic Research Papers: Primary Sources

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  • Glossary of Research Terms
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  • Executive Summary
  • Background Information
  • The Research Problem/Question
  • Theoretical Framework
  • Citation Tracking
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  • Evaluating Sources
  • Primary Sources
  • Secondary Sources
  • Tertiary Sources
  • What Is Scholarly vs. Popular?
  • Qualitative Methods
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  • Using Non-Textual Elements
  • Limitations of the Study
  • Common Grammar Mistakes
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  • Multiple Book Review Essay
  • Reviewing Collected Essays
  • About Informed Consent
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  • Acknowledgements

Primary sources were either created during the time period being studied or were created at a later date by a participant in the events being studied, such as, a childhood memoir. They are original documents (i.e., they are not about another document or account) and reflect the individual viewpoint of a participant or observer. Primary sources represent direct, uninterpreted records of the subject of your research study.

Value of Primary Sources

Primary sources enable you to get as close as possible to understanding the lived experiences of others and discovering what actually happened during an event. However, what constitutes a primary or secondary source depends on the context in which it is being used. For example, David McCullough’s biography of John Adams could be a secondary source for a paper about John Adams, but a primary source for a paper about how various historians have interpreted the life of John Adams. When in doubt, ask a librarian for assistance!

Reviewing primary source material can be of value in improving your overall research paper because they :

  • Are original materials,
  • Were created from the time period involved,
  • Have not been filtered through interpretation or evaluation by others, and
  • Represent original thinking or experiences, reporting of a discovery, or the sharing of new information.

Examples of primary documents you could review as part of your overall study include :     * Artifacts (e.g. furniture or clothing, all from the time under study);     * Audio recordings (e.g. radio programs)     * Diaries;     * Internet communications on email, listservs;     * Interviews (e.g., oral histories, telephone, e-mail);     * Letters;     * Newspaper articles written at the time;     * Original Documents (i.e. birth certificate, will, marriage license, trial transcript);     * Patents;     * Photographs     * Proceedings of Meetings, conferences and symposia;     * Records of organizations, government agencies (e.g. annual report, treaty, constitution, government document);     * Speeches;     * Survey Research (e.g., market surveys, public opinion polls);     * Transcripts of radio and television programs     * Video recordings;     * Works of art, architecture, literature, and music (e.g., paintings, sculptures, musical scores, buildings, novels, poems).

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Performing Academic Research: Primary and secondary sources

  • The research process
  • Creating a research plan
  • Primary and secondary sources
  • Academic vs. non-academic information
  • Evaluating information: The PAARC test

Identifying Primary and Secondary Sources

What is a primary source.

Primary sources are firsthand accounts of events, ideas, or statements. They are usually created at the time of an event or very soon after.

Primary sources can come in many different forms, including diaries, letters, photographs, art, maps, video and film, sound recordings, interviews, newspapers, magazines, novels, poems, short stories, autobiographies, or memoirs. The exact form of a primary source is not important. It is the content and context of the material that makes it a primary source.  For example, a novel written in 2012 about the Peloponnesian War isn’t a primary source for information about the Peloponnesian War (unless the author is somehow over two thousand years old). However, the same novel is a primary source for information about the author’s ideas, philosophy, and writing style.

When trying to identify a Primary Source, ask yourself:

  • Was it created at the time of an event, or very soon after?
  • Was it created by someone who saw or heard an event themselves?
  • Is it a personal record of an event?

If you answer to any of the above is “yes,” then it is likely that you are looking at a Primary Source.

What is a Secondary Source?

Secondary sources report, describe, comment on, or analyze the experiences or work of others.

A secondary source is at least once removed from the primary source. It reports on the original work, the direct observation, or the firsthand experience. It will often use primary sources as examples.

Secondary sources can include books, textbooks, newspapers, biographies, journal articles, movies and magazines. As with primary sources, the format is less important than the information being presented. If the source seeks to report, describe, comment on or analyze an original work, direct observation, or firsthand experience of another person, it is a secondary source.

Eamon, Michael. “Defining Primary and Secondary Sources.” Library and Archives Canada , Library and Archives Canada,

27 May 2010, https://www.collectionscanada.gc.ca/education/008-3010-e.html.

Payton, Melissa. The Prentice Hall Guide to Evaluating Online Resources with Research Navigator 2004 . Pearson Education Inc., 2004.

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Research Basics

  • What Is Research?
  • Types of Research
  • Secondary Research | Literature Review
  • Developing Your Topic
  • Primary vs. Secondary Sources
  • Evaluating Sources
  • Responsible Conduct of Research
  • More Information

What Is a Primary or Secondary Source?

At its simplest, a primary source is an account of something that happened by the people who were there, such as participants or witnesses. A secondary source is an account of something that happened by people who were NOT there, often framed as a review, summary, or analysis. Technically, a secondary source is a review or analysis of primary sources—there’s also what’s called a tertiary source, that analyzes secondary sources, and so on.

What Does That Mean to Me As a Student or Researcher at Illinois Tech?

The most common type of primary source used at Illinois Tech is the research paper written by the researcher(s) who actually carried out the work. These papers are typically published as articles in peer-reviewed journals but could also be in the form of a thesis or dissertation, research report, case study, clinical trial, etc. In addition to written reports, various ancillary materials can be primary sources. These include data, surveys, questionnaires, interviews, computer code, images, and other supporting materials that were generated or collected as part of the work.

Secondary sources may be published in peer-reviewed journals as well but most often occur in popular media, like websites, blogs, newspapers, etc. Secondary sources in peer-reviewed journals are easy to identify because they use the word “review” in the title or abstract and don’t present any new research. Also considered as secondary sources are any ancillary materials that were re-used or repurposed from other research.

Interestingly, primary source research papers almost always include a review of prior research as part of the introduction or as a “literature review” section. The primary source material only includes those parts that talk about the new research: the methodology, results, discussion of results, conclusions, or other similar sections.

Why Is It Important to Use Primary Sources?

Simply put, people make mistakes. There’s an old party game called Telephone where a phrase is whispered from one person to the next around the room and at the end of the game, everybody is amused at how the phrase or its meaning has changed. Using secondary, tertiary, or other sources is like playing Telephone with your research. Reviews and other secondary accounts are summaries, so even at their best they omit parts of the original research and lack the detail and nuance of the original paper. At worst, a review author could entirely misunderstand or misrepresent the original research.

Does That Mean I Should Only Use Primary Sources?

No, not at all. For older, well-established research that’s had ample time to be reviewed and consolidated into the general knowledge of the field, there’s no need to go back to primary source material unless you’re challenging the conventional interpretation.

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Primary Research vs Secondary Research: A Comparative Analysis

Understand the differences between primary research vs secondary research. Learn how they can be used to generate valuable insights.

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Primary research and secondary research are two fundamental approaches used in research studies to gather information and explore topics of interest. Both primary and secondary research offer unique advantages and have their own set of considerations, making them valuable tools for researchers in different contexts.

Understanding the distinctions between primary and secondary research is crucial for researchers to make informed decisions about the most suitable approach for their study objectives and available resources.

What is Primary Research?

Primary research refers to the collection and analysis of data directly from original sources. It involves gathering information directly to address specific research objectives and generate new insights. This research method conducts surveys, interviews, observations, experiments, or focus groups to obtain data that is relevant to the research question at hand. By engaging directly with subjects or sources, primary research provides firsthand and up-to-date information, allowing researchers to have control over the data collection process and adjust it to their specific needs.

Types of Primary Research

There are several types of primary research methods commonly used in various fields:

Surveys are the systematic collection of data through questionnaires or interviews, aiming to gather information from a large number of participants. Surveys can be conducted in person, over the phone, through mail, or online.

Interviews entail direct one-on-one or group interactions with individuals or key informants to obtain detailed information about their experiences, opinions, or expertise. Interviews can be structured (using predetermined questions) or unstructured (allowing for open-ended discussions).

Observations

Observational research carefully observes and documents behaviors, interactions, or phenomena in real-life settings. It can be done in a participant or non-participant manner, depending on the level of involvement of the researcher.

Data analysis

Examining and interpreting collected data, data analysis uncovers patterns, trends, and insights, providing a deeper understanding of the research topic. It enables drawing meaningful conclusions for decision-making and guides further research.

Focus groups

Focus groups facilitated group discussions with a small number of participants who shared their opinions, attitudes, and experiences on a specific topic. This method allows for interactive and in-depth exploration of a subject.

Benefits of Primary Research

Original and specific data: Primary research provides first hand data directly relevant to the research objectives, ensuring its freshness and specificity to the research context.

Control over data collection: Researchers have control over the design, implementation, and data collection process, allowing them to adapt the research methods and instruments to suit their needs.

Depth of understanding: Primary research methods, such as interviews and focus groups, enable researchers to gain a deep understanding of participants’ perspectives, experiences, and motivations.

Validity and reliability: By directly collecting data from original sources, primary research enhances the validity and reliability of the findings, reducing potential biases associated with using secondary or existing data.

Challenges of Primary Research

Time and Resource-intensive: Primary research requires careful planning, data collection, analysis, and interpretation. It may require recruiting participants, conducting interviews or surveys, and analyzing data, all of which require time and resources.

Sampling limitations: Primary research often relies on sampling techniques to select participants. Ensuring a representative sample that accurately reflects the target population can be challenging, and sampling biases may affect the generalizability of the findings.

Subjectivity: The involvement of researchers in primary research methods, such as interviews or observations, introduces the potential for subjective interpretations or biases that can influence the data collection and analysis process.

Limited generalizability: Findings from primary research may have limited generalizability due to the specific characteristics of the sample or context. It is essential to acknowledge the scope and limitations of the findings and avoid making broad generalizations beyond the studied sample or context.

What is Secondary Research?

It is a method of research that relies on data that is readily available, rather than gathering new data through primary research methods. Secondary research relies on reviewing and analyzing sources such as published studies, reports, articles, books, government databases, and online resources to extract relevant information for a specific research objective.

Sources of Secondary Research

Published studies and academic journals.

Researchers can review published studies and academic journals to gather information, data, and findings related to their research topic. These sources often provide comprehensive and in-depth analyses of specific subjects.

Reports and white papers

Reports and white papers produced by research organizations, government agencies, and industry associations provide valuable data and insights on specific topics or sectors. These documents often contain statistical data, market research, trends, and expert opinions.

Books and reference materials

Books and reference materials written by experts in a particular field can offer comprehensive overviews, theories, and historical perspectives that contribute to secondary research.

Online databases

Online databases, such as academic libraries, research repositories, and specialized platforms, provide access to a vast array of published research articles, theses, dissertations, and conference proceedings.

Benefits of Secondary Research

Time and Cost-effectiveness: Secondary research saves time and resources since the data and information already exist and are readily accessible. Researchers can utilize existing resources instead of conducting time-consuming primary research.

Wide range of data: Secondary research provides access to a wide range of data sources, including large-scale surveys, census data, and comprehensive reports. This allows researchers to explore diverse perspectives and make comparisons across different studies.

Comparative analyses: Researchers can compare findings from different studies or datasets, allowing for cross-referencing and verification of results. This enhances the robustness and validity of research outcomes.

Ethical considerations: Secondary research does not involve direct interaction with participants, which reduces ethical concerns related to privacy, informed consent, and confidentiality.

Challenges of Secondary Research

Data availability and quality: The availability and quality of secondary data can vary. Researchers must critically evaluate the credibility, reliability, and relevance of the sources to ensure the accuracy of the information used in their research.

Limited control over data: Researchers have limited control over the design, collection methods, and variables included in the secondary data. The data may not perfectly align with the research objectives, requiring careful selection and analysis.

Potential bias and outdated information: Secondary data may contain inherent biases or limitations introduced by the original researchers. Additionally, the data may become outdated, and newer information or developments may not be captured.

Lack of customization: Since secondary data is collected for various purposes, it may not perfectly align with the specific research needs. Researchers may encounter limitations in terms of variables, definitions, or granularity of data.

Comparing Primary and Secondary Research

Primary research vs secondary research, examples of primary and secondary research, examples of primary research.

  • Conducting a survey to collect data on customer satisfaction and preferences for a new product directly from the target audience.
  • Designing and conducting an experiment to test the effectiveness of a new teaching method by comparing the learning outcomes of students in different groups.
  • Observing and documenting the behavior of a specific animal species in its natural habitat to gather data for ecological research.
  • Organizing a focus group with potential consumers to gather insights and feedback on a new advertising campaign.
  • Conducting interviews with healthcare professionals to understand their experiences and perspectives on a specific medical treatment.

Examples of Secondary Research

  • Accessing a market research report to gather information on consumer trends, market size, and competitor analysis in the smartphone industry.
  • Using existing government data on unemployment rates to analyze the impact of economic policies on employment patterns.
  • Examining historical records and letters to understand the political climate and social conditions during a particular historical event.
  • Conducting a meta-analysis of published studies on the effectiveness of a specific medication to assess its overall efficacy and safety.

How to Use Primary and Secondary Research Together

Having explored the distinction between primary research vs secondary research, the integration of these two approaches becomes a crucial consideration. By incorporating primary and secondary research, a comprehensive and well-informed research methodology can be achieved. The utilization of secondary research provides researchers with a broader understanding of the subject, allowing them to identify gaps in knowledge and refine their research questions properly.

Primary research methods, such as surveys or interviews, can then be employed to collect new data that directly address these research questions. The findings from primary research can be compared and validated against the existing knowledge obtained through secondary research. By combining the insights from both types of research, researchers can fill knowledge gaps, strengthen the reliability of their findings through triangulation, and draw meaningful conclusions that contribute to the overall understanding of the subject matter.

Ethical Considerations for Primary and Secondary Research

In primary research, researchers must obtain informed consent from participants, ensuring they are fully aware of the study’s purpose, procedures, and any potential risks or benefits involved. Confidentiality and anonymity should be maintained to safeguard participants’ privacy. Researchers should also ensure that the data collection methods and research design are conducted in an ethical manner, adhering to ethical guidelines and standards set by relevant institutional review boards or ethics committees.

In secondary research, ethical considerations primarily revolve around the proper and responsible use of existing data sources. Researchers should respect copyright laws and intellectual property rights when accessing and using secondary data. They should also critically evaluate the credibility and reliability of the sources to ensure the validity of the data used in their research. Proper citation and acknowledgment of the original sources are essential to maintain academic integrity and avoid plagiarism.

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What are Primary Sources?

Do you panic if your professor tells you to find a primary source? When does a news article stop being primary and start being secondary? This guide will clarify what's what in the humanities and give you some examples to look at.

Definitions

Primary sources are first hand accounts of real events. They may describe a national crisis or the ordinary routines of daily life.

Some primary sources are created at the time an event occurs. News accounts of daily events, journal entries, ships' logs and passenger manifests, laws, treaties, birth or death certificates, letters, telegrams, even e-mails: all of these are records of events as the events are unfolding. Other primary sources are created well after an event has passed. A first hand witness to an event may tell his or her story years later. Memoirs, oral histories, and interviews are all primary sources.

Not all primary sources are written. History has been captured on film and all manner of video and audio recordings, in photographs, drawings, and in ancient art works and archeological artifacts. Primary sources give us a glimpse into history as witnessed by the people who were there. With each new generation of technology, humans create new ways to record their experiences. Future generations may look at today's blogs to see how 21st century people described their lives.

Secondary sources then are one step removed from a primary source. They may quote a primary source, but they are more inclined to focus on analyzing or explaining or rebuking the content of a primary source. Secondary sources are incredibly useful for deepening understanding and exploring what other experts have said about a topic, but it is important to know how they are different from primary sources.

Tertiary sources are even further removed from a primary source. A tertiary source is an accumulation or consolidation of primary and secondary sources that does not add commentary to either, but instead tries to summarize, index, or give an overview on a particular topic, such as an encyclopedia or a digest or even the website Wikipedia. While these are not usually material that should be used as citations, they can be a powerful tool for finding appropriate primary and secondary sources on a given topic.

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Africans in America  America's journey through slavery is presented in four parts. For each era, you'll find a historical Narrative, a Resource Bank of images, documents, stories, biographies, and commentaries.

AMDOCS Documents for the study of American history

American Journeys: Eyewitness Accounts of Early American Explorations  Eyewittness accounts of early American exploration and settlement. A digital library and learning center. 

American Studies at the University of Virginia An archive of the humanities computing work in American Studies programs at UVA

Avalon Project- Yale University  Documents in law, history, and diplomacy

Digital Public Library of America  Provides access to millions of images, photographs, manuscripts, books, sounds, and more from libraries, archives, and museums across the U.S.

EuroDoc Online Sources for Eurpoean History  Western European (mainly primary) historical documents that are transcribed, reproduced in facsimile, or translated

Eurpoeana  Contains millions of digital items (texts, images, video, and sound) provided by Europe's museums and galleries, archives, libraries and audio-visual organizations.

Fordham University Sourcebook  A listing of full text books available online

Foreign Relations of the United States The Foreign Relations of the United States series is the official documentary historical record of major U.S. foreign policy decisions that have been declassified and edited for publication.

Gilder Lehrman Institute of American History  Drawing on the 75,000 documents in the Gilder Lehrman Collection and an extensive network of eminent historians, the Institute provides teachers, students, and the general public with direct access to unique primary source materials.

History Matters  Explore 1,000 primary documents, images, and audio interviews.

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The Making of America Digital library of primary sources in American social history from the antebellum period through reconstruction. The collection is particularly strong in the subject areas of education, psychology, American history, sociology, religion, and science and technology. 

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  • Published: 17 October 2023

The impact of founder personalities on startup success

  • Paul X. McCarthy 1 , 2 ,
  • Xian Gong 3 ,
  • Fabian Braesemann 4 , 5 ,
  • Fabian Stephany 4 , 5 ,
  • Marian-Andrei Rizoiu 3 &
  • Margaret L. Kern 6  

Scientific Reports volume  13 , Article number:  17200 ( 2023 ) Cite this article

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This article has been updated

Startup companies solve many of today’s most challenging problems, such as the decarbonisation of the economy or the development of novel life-saving vaccines. Startups are a vital source of innovation, yet the most innovative are also the least likely to survive. The probability of success of startups has been shown to relate to several firm-level factors such as industry, location and the economy of the day. Still, attention has increasingly considered internal factors relating to the firm’s founding team, including their previous experiences and failures, their centrality in a global network of other founders and investors, as well as the team’s size. The effects of founders’ personalities on the success of new ventures are, however, mainly unknown. Here, we show that founder personality traits are a significant feature of a firm’s ultimate success. We draw upon detailed data about the success of a large-scale global sample of startups (n = 21,187). We find that the Big Five personality traits of startup founders across 30 dimensions significantly differ from that of the population at large. Key personality facets that distinguish successful entrepreneurs include a preference for variety, novelty and starting new things (openness to adventure), like being the centre of attention (lower levels of modesty) and being exuberant (higher activity levels). We do not find one ’Founder-type’ personality; instead, six different personality types appear. Our results also demonstrate the benefits of larger, personality-diverse teams in startups, which show an increased likelihood of success. The findings emphasise the role of the diversity of personality types as a novel dimension of team diversity that influences performance and success.

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Introduction.

The success of startups is vital to economic growth and renewal, with a small number of young, high-growth firms creating a disproportionately large share of all new jobs 1 , 2 . Startups create jobs and drive economic growth, and they are also an essential vehicle for solving some of society’s most pressing challenges.

As a poignant example, six centuries ago, the German city of Mainz was abuzz as the birthplace of the world’s first moveable-type press created by Johannes Gutenberg. However, in the early part of this century, it faced several economic challenges, including rising unemployment and a significant and growing municipal debt. Then in 2008, two Turkish immigrants formed the company BioNTech in Mainz with another university research colleague. Together they pioneered new mRNA-based technologies. In 2020, BioNTech partnered with US pharmaceutical giant Pfizer to create one of only a handful of vaccines worldwide for Covid-19, saving an estimated six million lives 3 . The economic benefit to Europe and, in particular, the German city where the vaccine was developed has been significant, with windfall tax receipts to the government clearing Mainz’s €1.3bn debt and enabling tax rates to be reduced, attracting other businesses to the region as well as inspiring a whole new generation of startups 4 .

While stories such as the success of BioNTech are often retold and remembered, their success is the exception rather than the rule. The overwhelming majority of startups ultimately fail. One study of 775 startups in Canada that successfully attracted external investment found only 35% were still operating seven years later 5 .

But what determines the success of these ‘lucky few’? When assessing the success factors of startups, especially in the early-stage unproven phase, venture capitalists and other investors offer valuable insights. Three different schools of thought characterise their perspectives: first, supply-side or product investors : those who prioritise investing in firms they consider to have novel and superior products and services, investing in companies with intellectual property such as patents and trademarks. Secondly, demand-side or market-based investors : those who prioritise investing in areas of highest market interest, such as in hot areas of technology like quantum computing or recurrent or emerging large-scale social and economic challenges such as the decarbonisation of the economy. Thirdly, talent investors : those who prioritise the foundation team above the startup’s initial products or what industry or problem it is looking to address.

Investors who adopt the third perspective and prioritise talent often recognise that a good team can overcome many challenges in the lead-up to product-market fit. And while the initial products of a startup may or may not work a successful and well-functioning team has the potential to pivot to new markets and new products, even if the initial ones prove untenable. Not surprisingly, an industry ‘autopsy’ into 101 tech startup failures found 23% were due to not having the right team—the number three cause of failure ahead of running out of cash or not having a product that meets the market need 6 .

Accordingly, early entrepreneurship research was focused on the personality of founders, but the focus shifted away in the mid-1980s onwards towards more environmental factors such as venture capital financing 7 , 8 , 9 , networks 10 , location 11 and due to a range of issues and challenges identified with the early entrepreneurship personality research 12 , 13 . At the turn of the 21st century, some scholars began exploring ways to combine context and personality and reconcile entrepreneurs’ individual traits with features of their environment. In her influential work ’The Sociology of Entrepreneurship’, Patricia H. Thornton 14 discusses two perspectives on entrepreneurship: the supply-side perspective (personality theory) and the demand-side perspective (environmental approach). The supply-side perspective focuses on the individual traits of entrepreneurs. In contrast, the demand-side perspective focuses on the context in which entrepreneurship occurs, with factors such as finance, industry and geography each playing their part. In the past two decades, there has been a revival of interest and research that explores how entrepreneurs’ personality relates to the success of their ventures. This new and growing body of research includes several reviews and meta-studies, which show that personality traits play an important role in both career success and entrepreneurship 15 , 16 , 17 , 18 , 19 , that there is heterogeneity in definitions and samples used in research on entrepreneurship 16 , 18 , and that founder personality plays an important role in overall startup outcomes 17 , 19 .

Motivated by the pivotal role of the personality of founders on startup success outlined in these recent contributions, we investigate two main research questions:

Which personality features characterise founders?

Do their personalities, particularly the diversity of personality types in founder teams, play a role in startup success?

We aim to understand whether certain founder personalities and their combinations relate to startup success, defined as whether their company has been acquired, acquired another company or listed on a public stock exchange. For the quantitative analysis, we draw on a previously published methodology 20 , which matches people to their ‘ideal’ jobs based on social media-inferred personality traits.

We find that personality traits matter for startup success. In addition to firm-level factors of location, industry and company age, we show that founders’ specific Big Five personality traits, such as adventurousness and openness, are significantly more widespread among successful startups. As we find that companies with multi-founder teams are more likely to succeed, we cluster founders in six different and distinct personality groups to underline the relevance of the complementarity in personality traits among founder teams. Startups with diverse and specific combinations of founder types (e. g., an adventurous ‘Leader’, a conscientious ‘Accomplisher’, and an extroverted ‘Developer’) have significantly higher odds of success.

We organise the rest of this paper as follows. In the Section " Results ", we introduce the data used and the methods applied to relate founders’ psychological traits with their startups’ success. We introduce the natural language processing method to derive individual and team personality characteristics and the clustering technique to identify personality groups. Then, we present the result for multi-variate regression analysis that allows us to relate firm success with external and personality features. Subsequently, the Section " Discussion " mentions limitations and opportunities for future research in this domain. In the Section " Methods ", we describe the data, the variables in use, and the clustering in greater detail. Robustness checks and additional analyses can be found in the Supplementary Information.

Our analysis relies on two datasets. We infer individual personality facets via a previously published methodology 20 from Twitter user profiles. Here, we restrict our analysis to founders with a Crunchbase profile. Crunchbase is the world’s largest directory on startups. It provides information about more than one million companies, primarily focused on funding and investors. A company’s public Crunchbase profile can be considered a digital business card of an early-stage venture. As such, the founding teams tend to provide information about themselves, including their educational background or a link to their Twitter account.

We infer the personality profiles of the founding teams of early-stage ventures from their publicly available Twitter profiles, using the methodology described by Kern et al. 20 . Then, we correlate this information to data from Crunchbase to determine whether particular combinations of personality traits correspond to the success of early-stage ventures. The final dataset used in the success prediction model contains n = 21,187 startup companies (for more details on the data see the Methods section and SI section  A.5 ).

Revisions of Crunchbase as a data source for investigations on a firm and industry level confirm the platform to be a useful and valuable source of data for startups research, as comparisons with other sources at micro-level, e.g., VentureXpert or PwC, also suggest that the platform’s coverage is very comprehensive, especially for start-ups located in the United States 21 . Moreover, aggregate statistics on funding rounds by country and year are quite similar to those produced with other established sources, going to validate the use of Crunchbase as a reliable source in terms of coverage of funded ventures. For instance, Crunchbase covers about the same number of investment rounds in the analogous sectors as collected by the National Venture Capital Association 22 . However, we acknowledge that the data source might suffer from registration latency (a certain delay between the foundation of the company and its actual registration on Crunchbase) and success bias in company status (the likeliness that failed companies decide to delete their profile from the database).

The definition of startup success

The success of startups is uncertain, dependent on many factors and can be measured in various ways. Due to the likelihood of failure in startups, some large-scale studies have looked at which features predict startup survival rates 23 , and others focus on fundraising from external investors at various stages 24 . Success for startups can be measured in multiple ways, such as the amount of external investment attracted, the number of new products shipped or the annual growth in revenue. But sometimes external investments are misguided, revenue growth can be short-lived, and new products may fail to find traction.

Success in a startup is typically staged and can appear in different forms and times. For example, a startup may be seen to be successful when it finds a clear solution to a widely recognised problem, such as developing a successful vaccine. On the other hand, it could be achieving some measure of commercial success, such as rapidly accelerating sales or becoming profitable or at least cash positive. Or it could be reaching an exit for foundation investors via a trade sale, acquisition or listing of its shares for sale on a public stock exchange via an Initial Public Offering (IPO).

For our study, we focused on the startup’s extrinsic success rather than the founders’ intrinsic success per se, as its more visible, objective and measurable. A frequently considered measure of success is the attraction of external investment by venture capitalists 25 . However, this is not in and of itself a good measure of clear, incontrovertible success, particularly for early-stage ventures. This is because it reflects investors’ expectations of a startup’s success potential rather than actual business success. Similarly, we considered other measures like revenue growth 26 , liquidity events 27 , 28 , 29 , profitability 30 and social impact 31 , all of which have benefits as they capture incremental success, but each also comes with operational measurement challenges.

Therefore, we apply the success definition initially introduced by Bonaventura et al. 32 , namely that a startup is acquired, acquires another company or has an initial public offering (IPO). We consider any of these major capital liquidation events as a clear threshold signal that the company has matured from an early-stage venture to becoming or is on its way to becoming a mature company with clear and often significant business growth prospects. Together these three major liquidity events capture the primary forms of exit for external investors (an acquisition or trade sale and an IPO). For companies with a longer autonomous growth runway, acquiring another company marks a similar milestone of scale, maturity and capability.

Using multifactor analysis and a binary classification prediction model of startup success, we looked at many variables together and their relative influence on the probability of the success of startups. We looked at seven categories of factors through three lenses of firm-level factors: (1) location, (2) industry, (3) age of the startup; founder-level factors: (4) number of founders, (5) gender of founders, (6) personality characteristics of founders and; lastly team-level factors: (7) founder-team personality combinations. The model performance and relative impacts on the probability of startup success of each of these categories of founders are illustrated in more detail in section  A.6 of the Supplementary Information (in particular Extended Data Fig.  19 and Extended Data Fig.  20 ). In total, we considered over three hundred variables (n = 323) and their relative significant associations with success.

The personality of founders

Besides product-market, industry, and firm-level factors (see SI section  A.1 ), research suggests that the personalities of founders play a crucial role in startup success 19 . Therefore, we examine the personality characteristics of individual startup founders and teams of founders in relationship to their firm’s success by applying the success definition used by Bonaventura et al. 32 .

Employing established methods 33 , 34 , 35 , we inferred the personality traits across 30 dimensions (Big Five facets) of a large global sample of startup founders. The startup founders cohort was created from a subset of founders from the global startup industry directory Crunchbase, who are also active on the social media platform Twitter.

To measure the personality of the founders, we used the Big Five, a popular model of personality which includes five core traits: Openness to Experience, Conscientiousness, Extraversion, Agreeableness, and Emotional stability. Each of these traits can be further broken down into thirty distinct facets. Studies have found that the Big Five predict meaningful life outcomes, such as physical and mental health, longevity, social relationships, health-related behaviours, antisocial behaviour, and social contribution, at levels on par with intelligence and socioeconomic status 36 Using machine learning to infer personality traits by analysing the use of language and activity on social media has been shown to be more accurate than predictions of coworkers, friends and family and similar in accuracy to the judgement of spouses 37 . Further, as other research has shown, we assume that personality traits remain stable in adulthood even through significant life events 38 , 39 , 40 . Personality traits have been shown to emerge continuously from those already evident in adolescence 41 and are not significantly influenced by external life events such as becoming divorced or unemployed 42 . This suggests that the direction of any measurable effect goes from founder personalities to startup success and not vice versa.

As a first investigation to what extent personality traits might relate to entrepreneurship, we use the personality characteristics of individuals to predict whether they were an entrepreneur or an employee. We trained and tested a machine-learning random forest classifier to distinguish and classify entrepreneurs from employees and vice-versa using inferred personality vectors alone. As a result, we found we could correctly predict entrepreneurs with 77% accuracy and employees with 88% accuracy (Fig.  1 A). Thus, based on personality information alone, we correctly predict all unseen new samples with 82.5% accuracy (See SI section  A.2 for more details on this analysis, the classification modelling and prediction accuracy).

We explored in greater detail which personality features are most prominent among entrepreneurs. We found that the subdomain or facet of Adventurousness within the Big Five Domain of Openness was significant and had the largest effect size. The facet of Modesty within the Big Five Domain of Agreeableness and Activity Level within the Big Five Domain of Extraversion was the subsequent most considerable effect (Fig.  1 B). Adventurousness in the Big Five framework is defined as the preference for variety, novelty and starting new things—which are consistent with the role of a startup founder whose role, especially in the early life of the company, is to explore things that do not scale easily 43 and is about developing and testing new products, services and business models with the market.

Once we derived and tested the Big Five personality features for each entrepreneur in our data set, we examined whether there is evidence indicating that startup founders naturally cluster according to their personality features using a Hopkins test (see Extended Data Figure  6 ). We discovered clear clustering tendencies in the data compared with other renowned reference data sets known to have clusters. Then, once we established the founder data clusters, we used agglomerative hierarchical clustering. This ‘bottom-up’ clustering technique initially treats each observation as an individual cluster. Then it merges them to create a hierarchy of possible cluster schemes with differing numbers of groups (See Extended Data Fig.  7 ). And lastly, we identified the optimum number of clusters based on the outcome of four different clustering performance measurements: Davies-Bouldin Index, Silhouette coefficients, Calinski-Harabas Index and Dunn Index (see Extended Data Figure  8 ). We find that the optimum number of clusters of startup founders based on their personality features is six (labelled #0 through to #5), as shown in Fig.  1 C.

To better understand the context of different founder types, we positioned each of the six types of founders within an occupation-personality matrix established from previous research 44 . This research showed that ‘each job has its own personality’ using a substantial sample of employees across various jobs. Utilising the methodology employed in this study, we assigned labels to the cluster names #0 to #5, which correspond to the identified occupation tribes that best describe the personality facets represented by the clusters (see Extended Data Fig.  9 for an overview of these tribes, as identified by McCarthy et al. 44 ).

Utilising this approach, we identify three ’purebred’ clusters: #0, #2 and #5, whose members are dominated by a single tribe (larger than 60% of all individuals in each cluster are characterised by one tribe). Thus, these clusters represent and share personality attributes of these previously identified occupation-personality tribes 44 , which have the following known distinctive personality attributes (see also Table  1 ):

Accomplishers (#0) —Organised & outgoing. confident, down-to-earth, content, accommodating, mild-tempered & self-assured.

Leaders (#2) —Adventurous, persistent, dispassionate, assertive, self-controlled, calm under pressure, philosophical, excitement-seeking & confident.

Fighters (#5) —Spontaneous and impulsive, tough, sceptical, and uncompromising.

We labelled these clusters with the tribe names, acknowledging that labels are somewhat arbitrary, based on our best interpretation of the data (See SI section  A.3 for more details).

For the remaining three clusters #1, #3 and #4, we can see they are ‘hybrids’, meaning that the founders within them come from a mix of different tribes, with no one tribe representing more than 50% of the members of that cluster. However, the tribes with the largest share were noted as #1 Experts/Engineers, #3 Fighters, and #4 Operators.

To label these three hybrid clusters, we examined the closest occupations to the median personality features of each cluster. We selected a name that reflected the common themes of these occupations, namely:

Experts/Engineers (#1) as the closest roles included Materials Engineers and Chemical Engineers. This is consistent with this cluster’s personality footprint, which is highest in openness in the facets of imagination and intellect.

Developers (#3) as the closest roles include Application Developers and related technology roles such as Business Systems Analysts and Product Managers.

Operators (#4) as the closest roles include service, maintenance and operations functions, including Bicycle Mechanic, Mechanic and Service Manager. This is also consistent with one of the key personality traits of high conscientiousness in the facet of orderliness and high agreeableness in the facet of humility for founders in this cluster.

figure 1

Founder-Level Factors of Startup Success. ( A ), Successful entrepreneurs differ from successful employees. They can be accurately distinguished using a classifier with personality information alone. ( B ), Successful entrepreneurs have different Big Five facet distributions, especially on adventurousness, modesty and activity level. ( C ), Founders come in six different types: Fighters, Operators, Accomplishers, Leaders, Engineers and Developers (FOALED) ( D ), Each founder Personality-Type has its distinct facet.

Together, these six different types of startup founders (Fig.  1 C) represent a framework we call the FOALED model of founder types—an acronym of Fighters, Operators, Accomplishers, Leaders, Engineers and D evelopers.

Each founder’s personality type has its distinct facet footprint (for more details, see Extended Data Figure  10 in SI section  A.3 ). Also, we observe a central core of correlated features that are high for all types of entrepreneurs, including intellect, adventurousness and activity level (Fig.  1 D).To test the robustness of the clustering of the personality facets, we compare the mean scores of the individual facets per cluster with a 20-fold resampling of the data and find that the clusters are, overall, largely robust against resampling (see Extended Data Figure  11 in SI section  A.3 for more details).

We also find that the clusters accord with the distribution of founders’ roles in their startups. For example, Accomplishers are often Chief Executive Officers, Chief Financial Officers, or Chief Operating Officers, while Fighters tend to be Chief Technical Officers, Chief Product Officers, or Chief Commercial Officers (see Extended Data Fig.  12 in SI section  A.4 for more details).

The ensemble theory of success

While founders’ individual personality traits, such as Adventurousness or Openness, show to be related to their firms’ success, we also hypothesise that the combination, or ensemble, of personality characteristics of a founding team impacts the chances of success. The logic behind this reasoning is complementarity, which is proposed by contemporary research on the functional roles of founder teams. Examples of these clear functional roles have evolved in established industries such as film and television, construction, and advertising 45 . When we subsequently explored the combinations of personality types among founders and their relationship to the probability of startup success, adjusted for a range of other factors in a multi-factorial analysis, we found significantly increased chances of success for mixed foundation teams:

Initially, we find that firms with multiple founders are more likely to succeed, as illustrated in Fig.  2 A, which shows firms with three or more founders are more than twice as likely to succeed than solo-founded startups. This finding is consistent with investors’ advice to founders and previous studies 46 . We also noted that some personality types of founders increase the probability of success more than others, as shown in SI section  A.6 (Extended Data Figures  16 and 17 ). Also, we note that gender differences play out in the distribution of personality facets: successful female founders and successful male founders show facet scores that are more similar to each other than are non-successful female founders to non-successful male founders (see Extended Data Figure  18 ).

figure 2

The Ensemble Theory of Team-Level Factors of Startup Success. ( A ) Having a larger founder team elevates the chances of success. This can be due to multiple reasons, e.g., a more extensive network or knowledge base but also personality diversity. ( B ) We show that joint personality combinations of founders are significantly related to higher chances of success. This is because it takes more than one founder to cover all beneficial personality traits that ‘breed’ success. ( C ) In our multifactor model, we show that firms with diverse and specific combinations of types of founders have significantly higher odds of success.

Access to more extensive networks and capital could explain the benefits of having more founders. Still, as we find here, it also offers a greater diversity of combined personalities, naturally providing a broader range of maximum traits. So, for example, one founder may be more open and adventurous, and another could be highly agreeable and trustworthy, thus, potentially complementing each other’s particular strengths associated with startup success.

The benefits of larger and more personality-diverse foundation teams can be seen in the apparent differences between successful and unsuccessful firms based on their combined Big Five personality team footprints, as illustrated in Fig.  2 B. Here, maximum values for each Big Five trait of a startup’s co-founders are mapped; stratified by successful and non-successful companies. Founder teams of successful startups tend to score higher on Openness, Conscientiousness, Extraversion, and Agreeableness.

When examining the combinations of founders with different personality types, we find that some ensembles of personalities were significantly correlated with greater chances of startup success—while controlling for other variables in the model—as shown in Fig.  2 C (for more details on the modelling, the predictive performance and the coefficient estimates of the final model, see Extended Data Figures  19 , 20 , and 21 in SI section  A.6 ).

Three combinations of trio-founder companies were more than twice as likely to succeed than other combinations, namely teams with (1) a Leader and two Developers , (2) an Operator and two Developers , and (3) an Expert/Engineer , Leader and Developer . To illustrate the potential mechanisms on how personality traits might influence the success of startups, we provide some examples of well-known, successful startup founders and their characteristic personality traits in Extended Data Figure  22 .

Startups are one of the key mechanisms for brilliant ideas to become solutions to some of the world’s most challenging economic and social problems. Examples include the Google search algorithm, disability technology startup Fingerwork’s touchscreen technology that became the basis of the Apple iPhone, or the Biontech mRNA technology that powered Pfizer’s COVID-19 vaccine.

We have shown that founders’ personalities and the combination of personalities in the founding team of a startup have a material and significant impact on its likelihood of success. We have also shown that successful startup founders’ personality traits are significantly different from those of successful employees—so much so that a simple predictor can be trained to distinguish between employees and entrepreneurs with more than 80% accuracy using personality trait data alone.

Just as occupation-personality maps derived from data can provide career guidance tools, so too can data on successful entrepreneurs’ personality traits help people decide whether becoming a founder may be a good choice for them.

We have learnt through this research that there is not one type of ideal ’entrepreneurial’ personality but six different types. Many successful startups have multiple co-founders with a combination of these different personality types.

To a large extent, founding a startup is a team sport; therefore, diversity and complementarity of personalities matter in the foundation team. It has an outsized impact on the company’s likelihood of success. While all startups are high risk, the risk becomes lower with more founders, particularly if they have distinct personality traits.

Our work demonstrates the benefits of personality diversity among the founding team of startups. Greater awareness of this novel form of diversity may help create more resilient startups capable of more significant innovation and impact.

The data-driven research approach presented here comes with certain methodological limitations. The principal data sources of this study—Crunchbase and Twitter—are extensive and comprehensive, but there are characterised by some known and likely sample biases.

Crunchbase is the principal public chronicle of venture capital funding. So, there is some likely sample bias toward: (1) Startup companies that are funded externally: self-funded or bootstrapped companies are less likely to be represented in Crunchbase; (2) technology companies, as that is Crunchbase’s roots; (3) multi-founder companies; (4) male founders: while the representation of female founders is now double that of the mid-2000s, women still represent less than 25% of the sample; (5) companies that succeed: companies that fail, especially those that fail early, are likely to be less represented in the data.

Samples were also limited to those founders who are active on Twitter, which adds additional selection biases. For example, Twitter users typically are younger, more educated and have a higher median income 47 . Another limitation of our approach is the potentially biased presentation of a person’s digital identity on social media, which is the basis for identifying personality traits. For example, recent research suggests that the language and emotional tone used by entrepreneurs in social media can be affected by events such as business failure 48 , which might complicate the personality trait inference.

In addition to sampling biases within the data, there are also significant historical biases in startup culture. For many aspects of the entrepreneurship ecosystem, women, for example, are at a disadvantage 49 . Male-founded companies have historically dominated most startup ecosystems worldwide, representing the majority of founders and the overwhelming majority of venture capital investors. As a result, startups with women have historically attracted significantly fewer funds 50 , in part due to the male bias among venture investors, although this is now changing, albeit slowly 51 .

The research presented here provides quantitative evidence for the relevance of personality types and the diversity of personalities in startups. At the same time, it brings up other questions on how personality traits are related to other factors associated with success, such as:

Will the recent growing focus on promoting and investing in female founders change the nature, composition and dynamics of startups and their personalities leading to a more diverse personality landscape in startups?

Will the growth of startups outside of the United States change what success looks like to investors and hence the role of different personality traits and their association to diverse success metrics?

Many of today’s most renowned entrepreneurs are either Baby Boomers (such as Gates, Branson, Bloomberg) or Generation Xers (such as Benioff, Cannon-Brookes, Musk). However, as we can see, personality is both a predictor and driver of success in entrepreneurship. Will generation-wide differences in personality and outlook affect startups and their success?

Moreover, the findings shown here have natural extensions and applications beyond startups, such as for new projects within large established companies. While not technically startups, many large enterprises and industries such as construction, engineering and the film industry rely on forming new project-based, cross-functional teams that are often new ventures and share many characteristics of startups.

There is also potential for extending this research in other settings in government, NGOs, and within the research community. In scientific research, for example, team diversity in terms of age, ethnicity and gender has been shown to be predictive of impact, and personality diversity may be another critical dimension 52 .

Another extension of the study could investigate the development of the language used by startup founders on social media over time. Such an extension could investigate whether the language (and inferred psychological characteristics) change as the entrepreneurs’ ventures go through major business events such as foundation, funding, or exit.

Overall, this study demonstrates, first, that startup founders have significantly different personalities than employees. Secondly, besides firm-level factors, which are known to influence firm success, we show that a range of founder-level factors, notably the character traits of its founders, significantly impact a startup’s likelihood of success. Lastly, we looked at team-level factors. We discovered in a multifactor analysis that personality-diverse teams have the most considerable impact on the probability of a startup’s success, underlining the importance of personality diversity as a relevant factor of team performance and success.

Data sources

Entrepreneurs dataset.

Data about the founders of startups were collected from Crunchbase (Table  2 ), an open reference platform for business information about private and public companies, primarily early-stage startups. It is one of the largest and most comprehensive data sets of its kind and has been used in over 100 peer-reviewed research articles about economic and managerial research.

Crunchbase contains data on over two million companies - mainly startup companies and the companies who partner with them, acquire them and invest in them, as well as profiles on well over one million individuals active in the entrepreneurial ecosystem worldwide from over 200 countries and spans. Crunchbase started in the technology startup space, and it now covers all sectors, specifically focusing on entrepreneurship, investment and high-growth companies.

While Crunchbase contains data on over one million individuals in the entrepreneurial ecosystem, some are not entrepreneurs or startup founders but play other roles, such as investors, lawyers or executives at companies that acquire startups. To create a subset of only entrepreneurs, we selected a subset of 32,732 who self-identify as founders and co-founders (by job title) and who are also publicly active on the social media platform Twitter. We also removed those who also are venture capitalists to distinguish between investors and founders.

We selected founders active on Twitter to be able to use natural language processing to infer their Big Five personality features using an open-vocabulary approach shown to be accurate in the previous research by analysing users’ unstructured text, such as Twitter posts in our case. For this project, as with previous research 20 , we employed a commercial service, IBM Watson Personality Insight, to infer personality facets. This service provides raw scores and percentile scores of Big Five Domains (Openness, Conscientiousness, Extraversion, Agreeableness and Emotional Stability) and the corresponding 30 subdomains or facets. In addition, the public content of Twitter posts was collected, and there are 32,732 profiles that each had enough Twitter posts (more than 150 words) to get relatively accurate personality scores (less than 12.7% Average Mean Absolute Error).

The entrepreneurs’ dataset is analysed in combination with other data about the companies they founded to explore questions about the nature and patterns of personality traits of entrepreneurs and the relationships between these patterns and company success.

For the multifactor analysis, we further filtered the data in several preparatory steps for the success prediction modelling (for more details, see SI section  A.5 ). In particular, we removed data points with missing values (Extended Data Fig.  13 ) and kept only companies in the data that were founded from 1990 onward to ensure consistency with previous research 32 (see Extended Data Fig.  14 ). After cleaning, filtering and pre-processing the data, we ended up with data from 25,214 founders who founded 21,187 startup companies to be used in the multifactor analysis. Of those, 3442 startups in the data were successful, 2362 in the first seven years after they were founded (see Extended Data Figure  15 for more details).

Entrepreneurs and employees dataset

To investigate whether startup founders show personality traits that are similar or different from the population at large (i. e. the entrepreneurs vs employees sub-analysis shown in Fig.  1 A and B), we filtered the entrepreneurs’ data further: we reduced the sample to those founders of companies, which attracted more than US$100k in investment to create a reference set of successful entrepreneurs (n \(=\) 4400).

To create a control group of employees who are not also entrepreneurs or very unlikely to be of have been entrepreneurs, we leveraged the fact that while some occupational titles like CEO, CTO and Public Speaker are commonly shared by founders and co-founders, some others such as Cashier , Zoologist and Detective very rarely co-occur seem to be founders or co-founders. To illustrate, many company founders also adopt regular occupation titles such as CEO or CTO. Many founders will be Founder and CEO or Co-founder and CTO. While founders are often CEOs or CTOs, the reverse is not necessarily true, as many CEOs are professional executives that were not involved in the establishment or ownership of the firm.

Using data from LinkedIn, we created an Entrepreneurial Occupation Index (EOI) based on the ratio of entrepreneurs for each of the 624 occupations used in a previous study of occupation-personality fit 44 . It was calculated based on the percentage of all people working in the occupation from LinkedIn compared to those who shared the title Founder or Co-founder (See SI section  A.2 for more details). A reference set of employees (n=6685) was then selected across the 112 different occupations with the lowest propensity for entrepreneurship (less than 0.5% EOI) from a large corpus of Twitter users with known occupations, which is also drawn from the previous occupational-personality fit study 44 .

These two data sets were used to test whether it may be possible to distinguish successful entrepreneurs from successful employees based on the different patterns of personality traits alone.

Hierarchical clustering

We applied several clustering techniques and tests to the personality vectors of the entrepreneurs’ data set to determine if there are natural clusters and, if so, how many are the optimum number.

Firstly, to determine if there is a natural typology to founder personalities, we applied the Hopkins statistic—a statistical test we used to answer whether the entrepreneurs’ dataset contains inherent clusters. It measures the clustering tendency based on the ratio of the sum of distances of real points within a sample of the entrepreneurs’ dataset to their nearest neighbours and the sum of distances of randomly selected artificial points from a simulated uniform distribution to their nearest neighbours in the real entrepreneurs’ dataset. The ratio measures the difference between the entrepreneurs’ data distribution and the simulated uniform distribution, which tests the randomness of the data. The range of Hopkins statistics is from 0 to 1. The scores are close to 0, 0.5 and 1, respectively, indicating whether the dataset is uniformly distributed, randomly distributed or highly clustered.

To cluster the founders by personality facets, we used Agglomerative Hierarchical Clustering (AHC)—a bottom-up approach that treats an individual data point as a singleton cluster and then iteratively merges pairs of clusters until all data points are included in the single big collection. Ward’s linkage method is used to choose the pair of groups for minimising the increase in the within-cluster variance after combining. AHC was widely applied to clustering analysis since a tree hierarchy output is more informative and interpretable than K-means. Dendrograms were used to visualise the hierarchy to provide the perspective of the optimal number of clusters. The heights of the dendrogram represent the distance between groups, with lower heights representing more similar groups of observations. A horizontal line through the dendrogram was drawn to distinguish the number of significantly different clusters with higher heights. However, as it is not possible to determine the optimum number of clusters from the dendrogram, we applied other clustering performance metrics to analyse the optimal number of groups.

A range of Clustering performance metrics were used to help determine the optimal number of clusters in the dataset after an apparent clustering tendency was confirmed. The following metrics were implemented to evaluate the differences between within-cluster and between-cluster distances comprehensively: Dunn Index, Calinski-Harabasz Index, Davies-Bouldin Index and Silhouette Index. The Dunn Index measures the ratio of the minimum inter-cluster separation and the maximum intra-cluster diameter. At the same time, the Calinski-Harabasz Index improves the measurement of the Dunn Index by calculating the ratio of the average sum of squared dispersion of inter-cluster and intra-cluster. The Davies-Bouldin Index simplifies the process by treating each cluster individually. It compares the sum of the average distance among intra-cluster data points to the cluster centre of two separate groups with the distance between their centre points. Finally, the Silhouette Index is the overall average of the silhouette coefficients for each sample. The coefficient measures the similarity of the data point to its cluster compared with the other groups. Higher scores of the Dunn, Calinski-Harabasz and Silhouette Index and a lower score of the Davies-Bouldin Index indicate better clustering configuration.

Classification modelling

Classification algorithms.

To obtain a comprehensive and robust conclusion in the analysis predicting whether a given set of personality traits corresponds to an entrepreneur or an employee, we explored the following classifiers: Naïve Bayes, Elastic Net regularisation, Support Vector Machine, Random Forest, Gradient Boosting and Stacked Ensemble. The Naïve Bayes classifier is a probabilistic algorithm based on Bayes’ theorem with assumptions of independent features and equiprobable classes. Compared with other more complex classifiers, it saves computing time for large datasets and performs better if the assumptions hold. However, in the real world, those assumptions are generally violated. Elastic Net regularisation combines the penalties of Lasso and Ridge to regularise the Logistic classifier. It eliminates the limitation of multicollinearity in the Lasso method and improves the limitation of feature selection in the Ridge method. Even though Elastic Net is as simple as the Naïve Bayes classifier, it is more time-consuming. The Support Vector Machine (SVM) aims to find the ideal line or hyperplane to separate successful entrepreneurs and employees in this study. The dividing line can be non-linear based on a non-linear kernel, such as the Radial Basis Function Kernel. Therefore, it performs well on high-dimensional data while the ’right’ kernel selection needs to be tuned. Random Forest (RF) and Gradient Boosting Trees (GBT) are ensembles of decision trees. All trees are trained independently and simultaneously in RF, while a new tree is trained each time and corrected by previously trained trees in GBT. RF is a more robust and straightforward model since it does not have many hyperparameters to tune. GBT optimises the objective function and learns a more accurate model since there is a successive learning and correction process. Stacked Ensemble combines all existing classifiers through a Logistic Regression. Better than bagging with only variance reduction and boosting with only bias reduction, the ensemble leverages the benefit of model diversity with both lower variance and bias. All the above classification algorithms distinguish successful entrepreneurs and employees based on the personality matrix.

Evaluation metrics

A range of evaluation metrics comprehensively explains the performance of a classification prediction. The most straightforward metric is accuracy, which measures the overall portion of correct predictions. It will mislead the performance of an imbalanced dataset. The F1 score is better than accuracy by combining precision and recall and considering the False Negatives and False Positives. Specificity measures the proportion of detecting the true negative rate that correctly identifies employees, while Positive Predictive Value (PPV) calculates the probability of accurately predicting successful entrepreneurs. Area Under the Receiver Operating Characteristic Curve (AUROC) determines the capability of the algorithm to distinguish between successful entrepreneurs and employees. A higher value means the classifier performs better on separating the classes.

Feature importance

To further understand and interpret the classifier, it is critical to identify variables with significant predictive power on the target. Feature importance of tree-based models measures Gini importance scores for all predictors, which evaluate the overall impact of the model after cutting off the specific feature. The measurements consider all interactions among features. However, it does not provide insights into the directions of impacts since the importance only indicates the ability to distinguish different classes.

Statistical analysis

T-test, Cohen’s D and two-sample Kolmogorov-Smirnov test are introduced to explore how the mean values and distributions of personality facets between entrepreneurs and employees differ. The T-test is applied to determine whether the mean of personality facets of two group samples are significantly different from one another or not. The facets with significant differences detected by the hypothesis testing are critical to separate the two groups. Cohen’s d is to measure the effect size of the results of the previous t-test, which is the ratio of the mean difference to the pooled standard deviation. A larger Cohen’s d score indicates that the mean difference is greater than the variability of the whole sample. Moreover, it is interesting to check whether the two groups’ personality facets’ probability distributions are from the same distribution through the two-sample Kolmogorov-Smirnov test. There is no assumption about the distributions, but the test is sensitive to deviations near the centre rather than the tail.

Privacy and ethics

The focus of this research is to provide high-level insights about groups of startups, founders and types of founder teams rather than on specific individuals or companies. While we used unit record data from the publicly available data of company profiles from Crunchbase , we removed all identifiers from the underlying data on individual companies and founders and generated aggregate results, which formed the basis for our analysis and conclusions.

Data availability

A dataset which includes only aggregated statistics about the success of startups and the factors that influence is released as part of this research. Underlying data for all figures and the code to reproduce them are available on GitHub: https://github.com/Braesemann/FounderPersonalities . Please contact Fabian Braesemann ( [email protected] ) in case you have any further questions.

Change history

07 may 2024.

A Correction to this paper has been published: https://doi.org/10.1038/s41598-024-61082-7

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Acknowledgements

We thank Gary Brewer from BuiltWith ; Leni Mayo from Influx , Rachel Slattery from TeamSlatts and Daniel Petre from AirTree Ventures for their ongoing generosity and insights about startups, founders and venture investments. We also thank Tim Li from Crunchbase for advice and liaison regarding data on startups and Richard Slatter for advice and referrals in Twitter .

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Paul X. McCarthy

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All authors designed research; All authors analysed data and undertook investigation; F.B. and F.S. led multi-factor analysis; P.M., X.G. and M.A.R. led the founder/employee prediction; M.L.K. led personality insights; X.G. collected and tabulated the data; X.G., F.B., and F.S. created figures; X.G. created final art, and all authors wrote the paper.

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Diving Deeper into Postsecondary Value, IHEP Research Series Explores Equity and Economic Outcomes

research papers on primary sources

Washington, DC (May 29, 2024) –   Higher education has long been recognized as a key driver of economic opportunity, but new research, spearheaded by the Institute for Higher Education Policy (IHEP), is diving deeper into questions of postsecondary value and equity. The “Elevating Equitable Value: Investigating Economic Outcomes of Postsecondary Education” series, informed by data from the Equitable Value Explorer tool along with state-level data, surveys, and additional sources, is exploring pressing questions about postsecondary value. Research released today by Trellis Strategies, the American Association of State Colleges and Universities (AASCU), Wayne State University, and the Research Institute at Dallas College completes the seven-paper series.  

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