Skip to content
Register Sign in Wishlist

Making History Count
A Primer in Quantitative Methods for Historians

textbook
  • Date Published: August 2006
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511074875

Adobe eBook Reader

Add to wishlist

Other available formats:
Paperback


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • Making History Count introduces the main quantitative methods used in historical research. The emphasis is on intuitive understanding and application of the concepts, rather than formal statistics; no knowledge of mathematics beyond simple arithmetic is required. The techniques are illustrated by applications in social, political, demographic and economic history. Students will learn to read and evaluate the application of the quantitative methods used in many books and articles, and to assess the historical conclusions drawn from them. They will also see how quantitative techniques can open up new aspects of an enquiry, and supplement and strengthen other methods of research. This textbook will encourage students to recognize the benefits of using quantitative methods in their own research projects. The text is clearly illustrated with tables, graphs and diagrams, leading the student through key topics. Additional support includes five specific historical data-sets, available from the Cambridge website.

    • Major new text on core technique in economic and social history by world-class author team
    • Does not require more than basic arithmetic
    • Innovative use of supporting website, to permit manipulation of data in various exercises
    Read more

    Reviews & endorsements

    'This is an excellent book which serves two purposes. It fills a much needed gap in the literature for the historian who isn't particularly happy in handling numerical data. it also benefits other students who require a passing knowledge of statistics. nothing to my knowledge, has come on the market since Maroney's Facts from Figures in the 1950s provides such an extensive insight into statistical methodology.' Open History

    'No competitor text is as effective … I wish this text had been available when I was trying to teach quantitative methods.' The Times Higher Education Supplement

    '… this is a very impressive, an d very welcome, book. Feinstein and Thomas are to be congratulated for producing a comprehensive, nontechnical introduction to quantitative methods for historians which I am sure will soon be compulsory reading on every course catering to such an audience.' Business History

    '… no competitor text is, to my knowledge, as effective in taking the student from the basics of descriptive statistics through to the intricacies of multiple linear regression … I wish this text had been available when I was trying to teach quantitative methods to numerically challenged historians…'. The Times Higher Education Supplement

    See more reviews

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: August 2006
    • format: Adobe eBook Reader
    • isbn: 9780511074875
    • contains: 1 table
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Part I. Elementary Statistical Analysis:
    1. Introduction
    2. Descriptive statistics
    3. Correlation
    4. Simple linear regression
    Part II. Samples and Inductive Statistics:
    5. Standard errors and confidence intervals
    6. Hypothesis testing
    7. Non-parametric tests
    Part III. Multiple Linear Regression:
    8. Multiple relationships
    9. The classical linear regression model
    10. Dummy variables and lagged values
    Part IV. Further Topics in Regression Analysis:
    11. Violating the assumptions of the classical model
    12. Non-linear models and functional forms
    13. Logit, probit, and tobit models
    Part V. Specifying and Interpreting Models: Four Case Studies:
    14. Case studies 1 and 2: unemployment in Britain and emigration from Ireland
    15. Case studies 3 and 4: the Old Poor Law in England and leaving home in the United States, 1850–60
    Appendix A. The four data sets
    Appendix B. Index numbers
    Index.

  • Resources for

    Making History Count

    Charles H. Feinstein, Mark Thomas

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact lecturers@cambridge.org.

  • Authors

    Charles H. Feinstein, University of Oxford

    Mark Thomas, University of Virginia

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×