Quantitative Social Science: An Introduction. Kosuke Imai

Quantitative Social Science: An Introduction

Quantitative-Social.pdf
ISBN: 9780691175461 | 432 pages | 11 Mb

Quantitative Social Science: An Introduction
Kosuke Imai
Page: 432
Format: pdf, ePub, fb2, mobi
ISBN: 9780691175461
Publisher: Princeton University Press

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Quantitative Social Science: An Introduction An introductory textbook on data analysis and statistics written especially for students in 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 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. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science 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

Data and Code for "Quantitative Social Science: An Introduction" • qss
Quantitative Social Science: An Introduction. An R package containing the datasets used in. Kosuke Imai. 2017. Quantitative Social Science: An Introduction . Princeton University Press. See kosukeimai/qss for other supplementary materials and the original data sets. The website for this package is available at Quantitative Social Science: An Introduction | 9780691175461
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Quantitative Social Science by Kosuke Imai. Kosuke Imai is professor of politics and founding director of the Program in Statistics and Machine Learning at Princeton University. Author Kosuke Imai. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning GitHub - kosukeimai/qss-swirl: Swirl Lessons for ``Quantitative
README.md. qss-swirl Build Status. Swirl Lessons for the book manuscript, ``Quantitative Social Science: An Introduction'' (QSS), to be published from Princeton University Press in 2017. See also the main repo, qss, for other supplementary materials. I welcome your contributions. Please improve these questions and add Quantitative Social Science: Amazon.de: Kosuke Imai
Pressestimmen. "The author has masterfully balanced careful explanations of the quantitative theory with the practical computer implementation of the methods applied to real world data sets. . . . That Quantitative Social Science: AnIntroduction is carefully written, detailed, and interactive makes it useful either as a textbook Quantitative social science : an introduction / Kosuke Imai
This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the socialsciences and allied fields, such as economics, sociology, public policy, and datascience. Quantitative Social Science engages directly with empirical analysis, showing Quantitative Social Science: An Introduction eBook - Amazon.com.br
An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields. Quantitative analysis is an increasingly essential skill for social science research, yet students in the socialsciences and related areas typically receive little training in it—or if they do, they usually end Quantitative Social Science: An Introduction - Amazon UK
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields. Quantitative analysis is an increasingly essential skill for social science research, yet students in the socialsciences and related areas typically receive little training in it―or if they do, they usually end bol.com | Quantitative Social Science, Kosuke Imai
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 Quantitative Social Science: An Introduction by Kosuke Imai - eBay
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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields. Quantitative analysis is an increasingly essential skill for social science research, yet students in the socialsciences and related areas typically receive little training in it—or if they do, they usually end

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