Data Science for the Social Sciences: Introduction and Advanced Models with R (Springer Texts in Political Science and International Relations) - Hardcover

Schlegel, Benjamin E.

Hardcover

ISBN 10: 3658498005 ISBN 13: 9783658498009

Publisher: Springer, 2026

Synopsis

This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated statistical models. Using the freely available statistical software R, the analyses are implemented in a clear and practical manner to make the theoretical concepts more tangible. In addition, the author introduces Quarto Markdown – a tool that significantly simplifies the technical aspects of writing seminar papers, bachelor’s and master’s theses. Exercises at the end of each chapter encourage readers to apply the material covered and dig deeper on their own. The book is primarily intended for students in the social sciences.

The English translation of this book, originally in German, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

About this title

About the Author

Dr. Benjamin E. Schlegel is a postdoctoral researcher at the Department of Political Science Methods, University of Zurich (Switzerland). His teaching and research focus on statistical methods, data analysis, and computational tools in the social sciences.

From the Back Cover

This textbook offers a step-by-step introduction to the fundamentals of data analysis. It begins with descriptive analyses, moves on to linear regression, and then covers more advanced and sophisticated statistical models. Using the freely available statistical software R, the analyses are implemented in a clear and practical manner to make the theoretical concepts more tangible. In addition, the author introduces Quarto Markdown – a tool that significantly simplifies the technical aspects of writing seminar papers, bachelor’s and master’s theses. Exercises at the end of each chapter encourage readers to apply the material covered and dig deeper on their own. The book is primarily intended for students in the social sciences.

The English translation of this book, originally in German, was facilitated by artificial intelligence. The content was later revised by the author for accuracy.

Edition details

• Publisher: Springer
• Publication date: 2026
• Language: English
• ISBN 10: 3658498005
• ISBN 13: 9783658498009
• Binding: Hardcover
• Number of pages: 364