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- 488 pages
- 18 hours of reading
More about the book
A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.
Book purchase
Quantitative Social Science, Kosuke Imai, Nora Webb Williams
- Language
- Released
- 2022
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Quantitative Social Science
- Subtitle
- An Introduction in tidyverse
- Language
- English
- Authors
- Kosuke Imai, Nora Webb Williams
- Publisher
- Princeton University Press
- Released
- 2022
- Format
- Paperback
- Pages
- 488
- ISBN10
- 0691222282
- ISBN13
- 9780691222288
- Series
- Rating
- 4.35 out of 5
- Description
- A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior.