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Big Data in the Psychological Sciences - Wilma A. Bainbridge

Big Data in the Psychological Sciences

Buch | Hardcover
264 Seiten
2025
Cambridge University Press (Verlag)
978-1-009-34358-9 (ISBN)
CHF 148,35 inkl. MwSt
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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.

Wilma A. Bainbridge is an Associate Professor in the Department of Psychology at the University of Chicago. She has won the Association for Psychological Sciences Rising Stars Award (2023), an Alfred P. Sloan Fellowship in Neuroscience (2024), and the American Psychological Association's (APA) Distinguished Scientific Award for Early Career Contributions to Psychology (2025). Her research has garnered attention from outlets such as CNN, Vox, and Wired. She has previously edited two books on vision and memory, and her 'Big Data in Psychology' class has earned a Curricular Innovation Award from the University of Chicago.

Preface; 1. What is big data?; 2. What is small data?; 3. Big participant samples; 4. Big stimulus sets; 5. Big experiments; 6. Big artificial intelligence; 7. Big human intelligence; 8. Big software: apps and games; 9. Big hardware: sensors and physiological data; 10. Big brain data; 11. Big language; 12. Big social interactions; Index.

Erscheinungsdatum
Zusatzinfo Worked examples or Exercises
Verlagsort Cambridge
Sprache englisch
Gewicht 801 g
Themenwelt Geisteswissenschaften Psychologie Allgemeine Psychologie
Geisteswissenschaften Psychologie Verhaltenstherapie
Naturwissenschaften Biologie Humanbiologie
Naturwissenschaften Biologie Zoologie
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 1-009-34358-0 / 1009343580
ISBN-13 978-1-009-34358-9 / 9781009343589
Zustand Neuware
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