9780691167039-0691167036-Quantitative Social Science: An Introduction

Quantitative Social Science: An Introduction

ISBN-13: 9780691167039
ISBN-10: 0691167036
Edition: Illustrated
Author: Kosuke Imai
Publication date: 2018
Publisher: Princeton University Press
Format: Hardcover 432 pages
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Book details

ISBN-13: 9780691167039
ISBN-10: 0691167036
Edition: Illustrated
Author: Kosuke Imai
Publication date: 2018
Publisher: Princeton University Press
Format: Hardcover 432 pages

Summary

Quantitative Social Science: An Introduction (ISBN-13: 9780691167039 and ISBN-10: 0691167036), written by authors Kosuke Imai, was published by Princeton University Press in 2018. With an overall rating of 3.5 stars, it's a notable title among other Methodology (Social Sciences, Reference, Research, Politics & Government) books. You can easily purchase or rent Quantitative Social Science: An Introduction (Hardcover) from BooksRun, along with many other new and used Methodology books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $2.82.

Description

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
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