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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.
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.
Contributors
Introduction
Sang Eun Woo, Louis Tay, and Robert W. Proctor
I. BACKGROUND AND OVERVIEW
1. Big Data Science: A Philosophy of Science Perspective
Brian D. Haig
2. From Small-Scale Experiments to Big Data: Challenges and
Opportunities for Experimental Psychologists
Robert W. Proctor and Aiping Xiong
3. Big Data for Enhancing Measurement Quality
Sang Eun Woo, Louis Tay, Andrew T. Jebb, Michael T. Ford, and
Margaret L. Kern
II. INNOVATIONS IN LARGE-SCALE DATA COLLECTION AND ANALYSIS
TECHNIQUES
4. Internet Search and Page View Behavior Scores: Validity and
Usefulness as Indicators of Psychological States
Michael T. Ford
5. Observing Human Behavior Through Worldwide Network Cameras
Sara Aghajanzadeh, Andrew T. Jebb, Yifan Li, Yung-Hsiang Lu, and
George K. Thiruvathukal
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
7. Human-Guided Visual Analytics for Big Data
Morteza Karimzadeh, Jieqiong Zhao, Guizhen Wang, Luke S. Snyder,
and David S. Ebert
8. Text Mining: A Field of Opportunities
Padmini Srinivasan
III. APPLICATIONS
9. Big Data in the Science of Learning
Sidney K. D’Mello
10. Big Data in Social Psychology
Ivan Hernandez
11. Big Data in Health Care Delivery
Mohammad Adibuzzaman and Paul M. Griffin
12. The Continued Importance of Theory: Lessons From Big Data
Approaches to Language and Cognition
Brendan T. Johns, Randall K. Jamieson, and Michael N. Jones
13. Big Data in Developmental Psychology
Kevin J. Grimm, Gabriela Stegmann, Ross Jacobucci, and Sarfaraz
Serang
14. Applying Principles of Big Data to the Workplace and Talent
Analytics
Q. Chelsea Song, Mengqiao Liu, Chen Tang, and Laura F. Long
IV. RECOMMENDATIONS FOR RESPONSIBLE AND RIGOROUS USE OF BIG
DATA
15. The Belmont Report in the Age of Big Data: Ethics at the
Intersection of Psychological Science and Data Science
Alexandra Paxton
16. Promoting Robust and Reliable Big Data Research in
Psychology
Joshua A. Strauss and James A. Grand
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
18. Privacy Enhancing Techniques for Security
Elisa Bertino
V. CONCLUDING REMARKS
19. Future Research Directions for Big Data in Psychology
Frederick L. Oswald
Index
About the Editors
Sang Eun Woo, PhD, is an associate professor in the
Department of Psychological Sciences at Purdue University. Her
research focuses on industrial-organizational psychology,
particularly personality and motivation, work attitudes, withdrawal
behaviors, and interpersonal relationships in the workplace.
Louis Tay, PhD, is an associate professor in the Department
of Psychological Sciences at Purdue University. His research
focuses on industrial-organizational psychology, with a particular
focus on issues related to methodology (i.e., measurement,
continuum specification, latent class modeling, and big data/data
science) and well-being (i.e., societal well-being, wellness
programs, and work-leisure interface).
Robert W. Proctor, PhD, is a professor in the Department of
Psychological Sciences at Purdue University. His research focuses
on human performance, human-computer interaction, human factors
issues related to information security and web design, and
experimental research methods.
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