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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

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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

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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  Quantitative Social Science: An Introduction, Book - Chapters Indigo
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Quantitative Social Science: An Introduction has 432 pages. Reading Length provides a calculation for the word count of this book, find out how long it will take you to read! Quantitative Social Science: An Introduction | Mathematical
Today, data science involves an interesting mixture of area-specific content knowledge with quantitative methods and computing. Furthermore, one may find data scientists occupying positions in a variety of academic departments, from computer science to marketing, and also in a variety of different  Quantitative Social Science: An Introduction: Kosuke Imai - Amazon.ca
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Keywords: Introduction to SDS, Introduction to R. Required. Preparing for Social Data Science · The Scientist: Get With the Program; Imai, Kosuke. 2016. A First Course in Quantitative Social Science. Read chapter 1. Inspiration. If you're interested, and want to delve deeper into coding and programming (you certainly don't  Quantitative Social Science: An Introduction - Chapter 2
In this chapter, we consider causality, one of the most central concepts ofquantitative social science. Much of social science research is concerned with the causal effects of various policies and other societal factors. Do small class sizes raise students' standardized test scores? Would universal health care improve the