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Quantitative Social Science

An Introduction in tidyverse
Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Quantitative Social Science offers a practical introduction to data analysis and statistics tailored for undergraduates and early graduate students in social sciences and related fields. Using the tidyverse suite of R packages, the book emphasises hands-on learning over theoretical statistics, guiding readers through empirical data analysis with real-world data sets. It covers essential concepts such as causality, measurement, prediction, probability, and statistical tools, providing a solid foundation for further study.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for students and researchers in social sciences, business, economics, education, political science, psychology, sociology, public policy, and data science seeking practical skills in quantitative analysis using R.

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"This "translation" of Imai's Quantiative Social Science makes the book adoptable in courses that use tidyverse. Tidyverse is a "dialect" of R--that is, it is a set of R packages that make data science work more user-friendly. Many instructors find tidyverse much easier to teach and are increasingly using this in the classroom setting"--

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields

Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behaviour.

  • Emphasises hands-on learning, not paper-and-pencil statistics
  • Includes 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 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

Book Details

INFORMATION

ISBN: 9780691222271

Publisher: Princeton University Press

Format: Hardback

Date Published: 23 August 2022

Country: United States

Imprint: Princeton University Press

Illustration: 43 color + 45 b/w illus. 51 tables.

Audience: General / adult, Tertiary education, Professional and scholarly

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 250g

Pages: 488

About the Author

Kosuke Imai is Professor of Government and of Statistics at Harvard University. Nora Webb Williams is Assistant Professor of Political Science at the University of Illinois, Urbana-Champaign.

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