Notice bibliographique
- Notice
Type(s) de contenu et mode(s) de consultation : Texte noté : sans médiation
Titre(s) : Big data in psychological research [Texte imprimé] / edited by Sang Eun Woo, Louis Tay, and Robert W. Proctor
Publication : Washington (D.C.) : American Psychological Association, copyright 2020
Description matérielle : 1 vol. (ix-469 p.) : ill. ; 27 cm
Note(s) : Bibliogr. en fin de chapitres. Index
"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"
Autre(s) auteur(s) : Woo, Sang Eun. Éditeur scientifique
Tay, Louis. Éditeur scientifique
Proctor, Robert W.. Éditeur scientifique
Sujet(s) : Psychologie -- Recherche -- Méthodologie
Exploration de données
Données massives -- Gestion
Protection de l'information (informatique)
Indice(s) Dewey :
150.72 (23e éd.) = Psychologie - Recherche
Identifiants, prix et caractéristiques : ISBN 9781433831676. - ISBN 1433831678. - ISBN 9781433832338 (erroné)
Identifiant de la notice : ark:/12148/cb465611525
Notice n° :
FRBNF46561152
(notice reprise d'un réservoir extérieur)
Table des matières : 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.
