Quantitative Social Science: An Introduction in Stata

Imai, Kosuke, Bougher, Lori D.

ISBN 10: 0691191093 / ISBN 13: 9780691191096

Published by Princeton University Press, 2021

About this Item

Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 002280394U

Bibliographic Details

Title: Quantitative Social Science: An Introduction...

Publisher: Princeton University Press

Publication Date: 2021

Binding: Paperback

Condition: Good

Edition: Reprint.

About this title

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.