（本書中文版封面）
（本書英文原版封面）
Description
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.
Introductory Statistics for undergraduates and beginning graduate students (Masters, PhD) in the fields of data science, political science, public policy, sociology, statistics, economics, education, psychology, and health care policy
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
（本書作者：Kosuke Imai教授）
About the author
Kosuke Imai is a professor in the Department of Government and in the Department of Statistics at Harvard University. He is also an affiliate of the Institute for Quantitative Social Science. Previously he was a professor at Princeton University for 15 years, and an executive committee member of the Committee for Statistical Studies and the Program for Quantitative and Analytical Political Science (Q-APS) at Princeton University. In addition, Imai was the founding director of the undergraduate certificate program in Statistics and Machine Learning. He specializes in the development of statistical methods and their applications to social science research. Outside of Harvard, Imai is currently serving as the Vice President and President-elect of the Society for Political Methodology. He is also Professor of Visiting Status in the Graduate Schools of Law and Politics at The University of Tokyo.
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