Quantitative Social Science: An Introduction in tidyverse

Quantitative Social Science is a textbook for undergraduates and beginning graduate students in the social sciences and allied fields that provides a practical introduction to data analysis and statistics using the tidyverse family of R packages. It emphasizes hands-on learning with data sets from actual research and covers key concepts such as causality, measurement, and prediction.

Format: Hardback
Length: 488 pages
Publication date: 23 August 2022
Publisher: Princeton University Press

Quantitative analysis is a crucial skill for social science research, yet students in these fields often receive limited training in this area. Quantitative Social Science is a practical introduction to data analysis and statistics designed specifically for undergraduates and beginning graduate students in the social sciences and allied fields, such as business, economics, education, political science, psychology, sociology, public policy, and data science. This unique textbook has been successfully used in classrooms worldwide and engages students directly with empirical analysis, teaching them how to analyze and interpret data using the tidyverse family of R packages. Data sets from leading quantitative social science research are used to illustrate how data analysis can be used to answer important questions about society and human behavior.

The book emphasizes hands-on learning and does not rely heavily on paper-and-pencil statistics. It includes data sets from actual research, allowing students to test their skills and apply the concepts they have learned. The book covers key data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools. It also features a wealth of supplementary exercises, including additional data analysis exercises and programming exercises, to further enhance the learning experience.

With its solid foundation and comprehensive coverage, Quantitative Social Science provides a solid foundation for further study in the social sciences and related fields. It is accompanied by additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides, making it an invaluable resource for students and instructors alike.

Dimension: 254 x 178 (mm)
ISBN-13: 9780691222271