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Quantitative Social Science : an Introduction by Imai, Kosuke, author is a mathematics available to read on EtoBox.
What is Quantitative Social Science : an Introduction about?
xix, 408 pages, 8 pages of plates : 26 cm, \"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 mate
Who reads Quantitative Social Science : an Introduction?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Imai, Kosuke, author
- Publisher
- Princeton : Princeton University Press
- Published
- 2017
- Language
- EN
- ISBN
- 9780691167039
- Category
- mathematics
- Subjects
- Social Science, Mathematics, Social_sciences
- Rating
- 4.5 / 5 (94 ratings)
- Updated
- 2026-03-14
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