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Quantitative Social Science - An Introduction in Stata (Paperback) Loot Price: R1,226
Discovery Miles 12 260
Quantitative Social Science - An Introduction in Stata (Paperback): Kosuke Imai, Lori D. Bougher

Quantitative Social Science - An Introduction in Stata (Paperback)

Kosuke Imai, Lori D. Bougher; Contributions by Raymond P. Hicks

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Loot Price R1,226 Discovery Miles 12 260 | Repayment Terms: R115 pm x 12*

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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

General

Imprint: Princeton University Press
Country of origin: United States
Release date: March 2021
Authors: Kosuke Imai • Lori D. Bougher
Contributors: Raymond P. Hicks
Dimensions: 254 x 178 x 35mm (L x W x T)
Format: Paperback - Trade
Pages: 472
ISBN-13: 978-0-691-19109-6
Categories: Books > Social sciences > Politics & government > Political science & theory
Books > Reference & Interdisciplinary > Encyclopaedias & reference works > Reference works > General
Books > Social sciences > Sociology, social studies > Social research & statistics > General
LSN: 0-691-19109-3
Barcode: 9780691191096

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