FREE delivery to all EXCLUSIVE BOOKS stores nationwide. FREE delivery to your door on all orders over R450. Excludes all international deliveries.

Quantitative Social Science

Kosuke Imai
    Product form
      FORMAT: Paperback / softback

      R 2,630.00 Price and availability exclusive to website

      YOU COULD EARN 2,630 FUTURE RETAIL DISCOUNTS.
      ESTIMATED DELIVERY: Back-order only, ETA unknown but significant delays
      BUY NOW PAY LATER
      From R 438.33 per month!
      3x monthly payments of R 876.66 with
      4x fortnightly payments of R 657.50 with
      An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. * Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science* Provides hands-on instruction using R programming, not paper-and-pencil statistics* Includes more than forty data sets from actual research for students to test their skills on* Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools* Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises* Offers a solid foundation for further study* Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
      Format: CONTRIBUTORS: Kosuke Imai EAN: 9780691175461 COUNTRY: United States PAGES: WEIGHT: 907 g HEIGHT: 254 cm
      PUBLISHED BY: Princeton University Press DATE PUBLISHED: 2018-02-09 CITY: GENRE: POLITICAL SCIENCE / General, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Reference, SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics WIDTH: 178 cm SPINE:

      Book Themes:

      Reference works, Society and culture: general, Social research and statistics, Politics and government

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Kosuke Imai is professor of politics and founding director of the Program in Statistics and Machine Learning at Princeton University.
      An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it--or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results--it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior.Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. * Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science* Provides hands-on instruction using R programming, not paper-and-pencil statistics* Includes more than forty data sets from actual research for students to test their skills on* Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools* Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises* Offers a solid foundation for further study* Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
      Format: CONTRIBUTORS: Kosuke Imai EAN: 9780691175461 COUNTRY: United States PAGES: WEIGHT: 907 g HEIGHT: 254 cm
      PUBLISHED BY: Princeton University Press DATE PUBLISHED: 2018-02-09 CITY: GENRE: POLITICAL SCIENCE / General, SOCIAL SCIENCE / Methodology, SOCIAL SCIENCE / Reference, SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics WIDTH: 178 cm SPINE:

      Book Themes:

      Reference works, Society and culture: general, Social research and statistics, Politics and government

      Customer Reviews

      Be the first to write a review
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      0%
      (0)
      Kosuke Imai is professor of politics and founding director of the Program in Statistics and Machine Learning at Princeton University.

      Recently viewed products

      Login

      Forgot your password?

      Don't have an account yet?
      Create account