Technological advances have led to an abundance of widely-available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and challenges and that this data presents to psychological researchers. This edited collection provides an overview of theoretical approaches to the utility and purpose of Big Data, approaches to research design and analysis, collection methods, applications, limitations, best practice recommendations, and key issues related to privacy, security, and ethical concerns that are essential to understand for anyone working with big data. The book also discusses potential future research directions aimed at improving the quality and interpretation of big data projects, as well as the training and evaluation of psychological science teams that conduct research using big data.
Part 1. Background and Overview Chapter 1. Big Data Science: A Philosophy of Science Perspective Brian Haig Chapter 2. Big Data: Challenges and Opportunities for Causal Inferences in the Experimental Tradition Robert Proctor and Aiping Xiong Chapter 3. Big Data for Enhancing Measurement Quality Sang Eun Woo, Louis Tay, Andrew T. Jebb, Michael T. Ford, and Margaret L. Kern Part 2. Innovations in Large-Scale Data Collection and Analysis Techniques Chapter 4. Internet Search and Page View Behavior Scores: Validity and Usefulness as Indicators of Psychological States Michael T. Ford Chapter 5. Observing Human Behavior through Worldwide Network Cameras Sara Aghajanzadeh, Yifan Li, Andrew T. Jebb, Yung-Hsiang Lu, and George K. Thiruvathukal Chapter 6. Wearable Cameras, Machine Vision, and Big Data Analytics: Insights into People and the Places They Go Andrew B. Blake, Daniel I. Lee, Roberto De La Rosa, and Ryne A. Sherman Chapter 7. Human-Guided Visual Analytics for Big Data Morteza Karimzadeh, Jieqiong Zhao, Guizhen Wang, Luke S. Snyder, and David S. Ebert Chapter 8. Text Mining: A Field of Opportunities Padmini Srinivasan Part 3. Applications Chapter 9. Big Data in the Science of Learning Sidney K. D'Mello Chapter 10. Big Data in Social Psychology Ivan Hernandez Chapter 11. Big Data in Health Care Delivery Mohammed Adibuzzaman and Paul Griffin Chapter 12. The Continued Importance of Theory: Lessons from Big Data Approaches to Cognition Brendan T. Johns, Randall K. Jamieson, and Michael N. Jones Chapter 13. Big Data in Developmental Psychology Kevin J. Grimm, Gabriela Stegmann, Ross Jacobucci, and Sarfaraz Serang Chapter 14. Big Data in the Workplace and Talent Analytics Q. Chelsea Song, Mengqiao Liu, Chen Tang, and Laura Long Part 4. Best-Practice Recommendations for Responsible and Rigorous Use of Big Data Chapter 15. The Belmont Report in the Age of Big Data: Ethics at the Intersection of Psychological Science and Data Science Alexandra Paxton Chapter 16. Promoting Robust and Reliable Big Data Research in Psychology Joshua A. Strauss and James A. Grand Chapter 17. Privacy and Cybersecurity Challenges, Opportunities, and Recommendations: Personnel Selection in an Era of Online Application Systems and Big Data Talya N. Bauer, Donald M. Truxillo, Mark P. Jones, and Grant Brady Chapter 18. Privacy Enhancing Techniques for Security Elisa Bertino Chapter 19. Future Research Agenda for Big Data Research in Psychology Frederick Oswald
