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Quantitative Social Science: An Introduction by Kosuke Imai

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

Download Quantitative Social Science: An Introduction

Books online pdf download Quantitative Social Science: An Introduction by Kosuke Imai

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

Students - Quantitative Social Science
The markdown file for the entire chapter: intro.Rmd; The pdf file with outputs: intro .pdf; The script for the entire chapter: intro.R; The script used in Section 1.3.8: UNpop.R 
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 
POL 345: Introduction to Quantitative Social Science | Alexander
POL 345: Introduction to Quantitative Social Science. Would universal health insurance improve the health of the poor? Do patterns of arrests in US cities show evidence of racial profiling? What accounts for who votes and their choice of candidates? This course will teach students how to address these and othersocial 
Quantitative Social Science : An Introduction (Hardcover) (Kosuke
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Quantitative Social Science: An Introduction: Kosuke Imai - Amazon.ca
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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