Details

Subject(s)

• Social sciences—Research—Data processing [Browse]
• Social sciences—Methodology [Browse]
• Quantitative research—Data processing [Browse]
• R (Computer program language) [Browse]

Author

• Williams, Nora Webb [Browse]

Library of Congress genre(s)

• Instructional and educational works [Browse]
• Informational works [Browse]

Summary note

• "This "translation" of Imai's Quantiative Social Science makes the book adoptable in courses that use tidyverse. Tidyverse is a "dialect" of R--that is, it is a set of R packages that make data science work more user-friendly. Many instructors find tidyverse much easier to teach and are increasingly using this in the classroom setting"-- Provided by publisher.
• Quantitative 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--back cover

Bibliographic references

Includes bibliographical references and indexes.

Contents

• 1. Introduction
• 2. Causality
• 3. Measurement
• Prediction
• 5. Discovery
• 6. Probability
• 7. Uncertainty
• 8. Next.

Show 5 more Contents items

ISBN

• 9780691222288 ((paperback))
• 0691222282 ((paperback))
• 9780691222271 ((hardcover))
• 0691222274 ((hardcover))

LCCN

2021051896

OCLC

1280405773

Statement on language in description

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