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Big data in psychological research

Big data in psychological research

자료유형
단행본
서명 / 저자사항
Big data in psychological research / edited by Sang Eun Woo, Louis Tay, and Robert W. Proctor.
발행사항
Washington : American Psychological Association, 2020.
형태사항
ix 469 p. : ill. ; 27 cm.
ISBN
9781433831676 (hardcover)
요약
"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 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"--
서지주기
Includes bibliographical references and index.
일반주제명
Psychology --Research --Data processing. Psychology --Research --Methodology.
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008 200914s2020 dcua b 001 0 eng d
010 ▼a 2019054296
020 ▼a 9781433831676 (hardcover)
020 ▼z 9781433832338 (ebook)
035 ▼a (KERIS)REF000019260380
040 ▼a DLC ▼b eng ▼e rda ▼c DLC ▼d 211009
050 0 0 ▼a BF76.6.I57 ▼b B54 2020
082 0 0 ▼a 150.72 ▼2 23
084 ▼a 150.72 ▼2 DDCK
090 ▼a 150.72 ▼b B592
245 0 0 ▼a Big data in psychological research / ▼c edited by Sang Eun Woo, Louis Tay, and Robert W. Proctor.
260 ▼a Washington : ▼b American Psychological Association, ▼c 2020.
300 ▼a ix 469 p. : ▼b ill. ; ▼c 27 cm.
504 ▼a Includes bibliographical references and index.
520 ▼a "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 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"-- ▼c Provided by publisher.
650 0 ▼a Psychology ▼x Research ▼x Data processing.
650 0 ▼a Psychology ▼x Research ▼x Methodology.
700 1 ▼a Woo, Sang Eun.
700 1 ▼a Tay, Louis, ▼c (Psychologist).
700 1 ▼a Proctor, Robert W.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 150.72 B592 등록번호 111833400 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

저자소개

Sang Eun Woo(엮은이)

Louis Tay(엮은이)

정보제공 : Aladin

목차

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

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