Quantitative Social Science - by Kosuke Imai & Lori D Bougher

About the Book

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

Book Synopsis

The Stata edition of the groundbreaking textbook on data analysis and statistics for 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 business, economics, education, political science, psychology, sociology, public policy, and data science.

Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results--it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty 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 classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors.

• Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science
• Provides hands-on instruction using Stata, not paper-and-pencil statistics
• Includes more than fifty 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

About the Author

Kosuke Imai is Professor of Government and of Statistics at Harvard University. Lori D. Bougher is a senior research specialist at the Data-Driven Social Science Initiative at Princeton University.