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Bender, Stefan ; Jarmin, Ron ; Kreuter, Frauke ; Lane, Julia

Document Type: Book chapter
Year of publication: 2017
Book title: Big data and social science : a practical guide to methods and tools
Page range: 299-311
Publisher: Foster, Ian
Place of publication: Boca Raton ; London ; New York, NY
Publishing house: CRC Press, a Chapman & Hall Book
ISBN: 978-1-4987-5140-7
Publication language: English
Institution: School of Social Sciences > Statistik u. Sozialwissenschaftliche Methodenlehre (Kreuter 2014-2020)
Subject: 310 Statistics
Abstract: Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations.

Dieser Eintrag ist Teil der Universitätsbibliographie.

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