The Stata edition of the groundbreaking textbook on data analysis
and statistics for 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 business, economics, education, political science,
psychology, sociology, public policy, and data science.
Quantitative Social Science engages directly with empirical
analysis, showing students how to analyze data using the Stata
statistical software and interpret the results-it emphasizes
hands-on learning, not paper-and-pencil statistics. More than fifty
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
classrooms around the world, this one-of-a-kind textbook features
numerous additional data analysis exercises, and also comes with
supplementary teaching materials for instructors. Written
especially for students in the social sciences and allied fields,
including business, economics, education, psychology, political
science, sociology, public policy, and data science Provides
hands-on instruction using Stata, not paper-and-pencil statistics
Includes more than fifty 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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