Big Data in the Psychological Sciences
Book Details
Format
Paperback / Softback
ISBN-10
1009343572
ISBN-13
9781009343572
Publisher
Cambridge University Press
Imprint
Cambridge University Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Oct 23rd, 2025
Print length
264 Pages
Weight
568 grams
Dimensions
25.40 x 20.20 x 1.70 cms
Product Classification:
Data analysis: generalData science and analysisCognitive studiesCognitive scienceSocial research & statisticsSocial research and statisticsCognition & cognitive psychologyCognition and cognitive psychologyNeurosciencesDigital and Information technology: general topicsInformation technology: general issuesDigital and information technologies: Health and safety aspectsHealth & safety aspects of ITDigital and information technologies: social and ethical aspectsEthical & social aspects of ITDigital lifestyleDigital Lifestyle and online world: consumer and user guidesArtificial intelligenceArtificial intelligence (AI)
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Cutting-edge computational tools are leading to new discoveries about the human mind. However, these new methods can be intimidating for psychology students. This textbook demonstrates how Big Data is transforming psychology, in an approachable and engaging way, incorporating discussion of theory, application, and ethics.
Cutting-edge computational tools like artificial intelligence, data scraping, and online experiments are leading to new discoveries about the human mind. However, these new methods can be intimidating. This textbook demonstrates how Big Data is transforming the field of psychology, in an approachable and engaging way that is geared toward undergraduate students without any computational training. Each chapter covers a hot topic, such as social networks, smart devices, mobile apps, and computational linguistics. Students are introduced to the types of Big Data one can collect, the methods for analyzing such data, and the psychological theories we can address. Each chapter also includes discussion of real-world applications and ethical issues. Supplementary resources include an instructor manual with assignment questions and sample answers, figures and tables, and varied resources for students such as interactive class exercises, experiment demos, articles, and tools.
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