Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.
Big Data in Psychological Research provides an overview of big data theory, research design and analysis, collection methods, applications, ethical concerns, best practices, and future research directions for psychologists.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Edited by Sang Eun Woo, Louis Tay, and Robert W. Proctor
Inhaltsangabe
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
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
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