Big Data in Psychological Research

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.

• ContributorsIntroductionSang Eun Woo, Louis Tay, and Robert W. ProctorI. BACKGROUND AND OVERVIEW. Big Data Science: A Philosophy of Science PerspectiveBrian D. Haig2. From Small-Scale Experiments to Big Data: Challenges and Opportunities for Experimental PsychologistsRobert W. Proctor and Aiping Xiong3. Big Data for Enhancing Measurement QualitySang Eun Woo, Louis Tay, Andrew T. Jebb, Michael T. Ford, and Margaret L. Kern  II. INNOVATIONS IN LARGE-SCALE DATA COLLECTION AND ANALYSIS TECHNIQUES4. Internet Search and Page View Behavior Scores: Validity and Usefulness as Indicators of Psychological StatesMichael T. Ford5. Observing Human Behavior Through Worldwide Network CamerasSara Aghajanzadeh, Andrew T. Jebb, Yifan Li, Yung-Hsiang Lu, and George K. Thiruvathukal. Wearable Cameras, Machine Vision, and Big Data Analytics: Insights Into People and the Places They GoAndrew B. Blake, Daniel I. Lee, Roberto De La Rosa, and Ryne A. Sherman  7. Human-Guided Visual Analytics for Big DataMorteza Karimzadeh, Jieqiong Zhao, Guizhen Wang, Luke S. Snyder, and David S. Ebert8. Text Mining: A Field of OpportunitiesPadmini SrinivasanIII. APPLICATIONS9. Big Data in the Science of LearningSidney K. D amp rsquo Mello. Big Data in Social PsychologyIvan Hernandez. Big Data in Health Care DeliveryMohammad Adibuzzaman and Paul M. Griffin2. The Continued Importance of Theory: Lessons From Big Data Approaches to Language and CognitionBrendan T. Johns, Randall K. Jamieson, and Michael N. Jones3. Big Data in Developmental PsychologyKevin J. Grimm, Gabriela Stegmann, Ross Jacobucci, and Sarfaraz Serang4. Applying Principles of Big Data to the Workplace and Talent AnalyticsQ. Chelsea Song, Mengqiao Liu, Chen Tang, and Laura F. LongIV. RECOMMENDATIONS FOR RESPONSIBLE AND RIGOROUS USE OF BIG DATA5. The Belmont Report in the Age of Big Data: Ethics at the Intersection of Psychological Science and Data ScienceAlexandra Paxton. Promoting Robust and Reliable Big Data Research in PsychologyJoshua A. Strauss and James A. Grand7. Privacy and Cybersecurity Challenges, Opportunities, and Recommendations: Personnel Selection in an Era of Online Application Systems and Big DataTalya N. Bauer, Donald M. Truxillo, Mark P. Jones, and Grant Brady8. Privacy Enhancing Techniques for SecurityElisa BertinoV. CONCLUDING REMARKS9. Future Research Directions for Big Data in PsychologyFrederick L. OswaldIndexAbout the Editors