Big data in psychological research /

"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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Woo, Sang Eun (Editor ), Tay, Louis (Psychologist) (Editor ), Proctor, Robert W. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Washington, DC : American Psychological Association, [2020]
Temas:
Psychology > Research > Data processing.
Psychology > Research > Methodology.
Data mining.
Data sets.
Psychology > methods
Data Mining
Datasets as Topic
Psychologie > Recherche > Informatique.
Psychologie > Recherche > Méthodologie.
Exploration de données (Informatique)
Jeux de données.
PSYCHOLOGY / Research & Methodology
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Contributors
  • Introduction
  • I. Background and overview: Big data science : a philosophy of science perspective / Brian D. Haig. From small-scale experiments to big data : challenges and opportunities for experimental psychologists / Robert W. Proctor and Aiping Xiong. 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: Internet search and page view behavior scores : validity and usefulness as indicators of psychological states / Michael T. Ford. Observing human behavior through worldwide network cameras / Sara 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 go / Andrew B. Blake, Daniel I. Lee, Roberto De La Rosa, and Ryne A. Sherman. Human-guided visual analytics for big data / Morteza Karimzadeh, Jieqiong Zhao, Guizhen Wang, Luke S. Snyder, and David S. Ebert. Human-guided visual analytics for big data / Morteza Karimzadeh, Jieqiong Zhao, Guizhen Wang, Luke S. Snyder, and David S. Ebert. Text mining : a field of opportunities / Padmini Srinivasan
  • III. Applications: Big data in the science of learning / Sidney K. D'Mello. Big data in social psychology / Ivan Hernandez. Big data in health care delivery / Mohammad Adibuzzaman and Paul M. Griffin. The continued importance of theory : lessons from big data approaches to language and cognition / Brendan T. Johns, Randall K. Jamieson, and Michael N. Jones. Big data in developmental psychology / Kevin J. Grimm, Gabriela Stegmann, Ross Jacobucci, and Sarfaraz Serang. 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: The Belmont Report in the age of big data : ethics at the intersection of psychological science and data science / Alexandra Paxton. Promoting robust and reliable big data research in psychology / Joshua A. Strauss and James A. Grand. 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. Privacy enhancing techniques for security / Elisa Bertino
  • V. Concluding remarks: Future research directions for big data in psychology
  • Index
  • About the editors.

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