Big Data In Psychological Research

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Big Data In Psychological Research

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Author : Sang Eun Woo
language : en
Publisher: American Psychological Association (APA)
Release Date : 2020

Big Data In Psychological Research written by Sang Eun Woo and has been published by American Psychological Association (APA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Psychology categories.

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 At Work

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Author : Scott Tonidandel
language : en
Publisher: Routledge
Release Date : 2015-11-06

Big Data At Work written by Scott Tonidandel and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-06 with Psychology categories.

The amount of data in our world has been exploding, and analyzing large data sets—so called big data—will become a key basis of competition in business. Statisticians and researchers will be updating their analytic approaches, methods and research to meet the demands created by the availability of big data. The goal of this book is to show how advances in data science have the ability to fundamentally influence and improve organizational science and practice. This book is primarily designed for researchers and advanced undergraduate and graduate students in psychology, management and statistics.

Big Data For Qualitative Research

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Author : Kathy A. Mills
language : en
Publisher: Routledge
Release Date : 2019-03-14

Big Data For Qualitative Research written by Kathy A. Mills and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-14 with Psychology categories.

Big Data for Qualitative Research covers everything small data researchers need to know about big data, from the potentials of big data analytics to its methodological and ethical challenges. The data that we generate in everyday life is now digitally mediated, stored, and analyzed by web sites, companies, institutions, and governments. Big data is large volume, rapidly generated, digitally encoded information that is often related to other networked data, and can provide valuable evidence for study of phenomena. This book explores the potentials of qualitative methods and analysis for big data, including text mining, sentiment analysis, information and data visualization, netnography, follow-the-thing methods, mobile research methods, multimodal analysis, and rhythmanalysis. It debates new concerns about ethics, privacy, and dataveillance for big data qualitative researchers. This book is essential reading for those who do qualitative and mixed methods research, and are curious, excited, or even skeptical about big data and what it means for future research. Now is the time for researchers to understand, debate, and envisage the new possibilities and challenges of the rapidly developing and dynamic field of big data from the vantage point of the qualitative researcher.

Computational Social Psychology

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Author : Robin R. Vallacher
language : en
Publisher: Routledge
Release Date : 2017-05-25

Computational Social Psychology written by Robin R. Vallacher and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-25 with Psychology categories.

Computational Social Psychology showcases a new approach to social psychology that enables theorists and researchers to specify social psychological processes in terms of formal rules that can be implemented and tested using the power of high speed computing technology and sophisticated software. This approach allows for previously infeasible investigations of the multi-dimensional nature of human experience as it unfolds in accordance with different temporal patterns on different timescales. In effect, the computational approach represents a rediscovery of the themes and ambitions that launched the field over a century ago. The book brings together social psychologists with varying topical interests who are taking the lead in this redirection of the field. Many present formal models that are implemented in computer simulations to test basic assumptions and investigate the emergence of higher-order properties; others develop models to fit the real-time evolution of people’s inner states, overt behavior, and social interactions. Collectively, the contributions illustrate how the methods and tools of the computational approach can investigate, and transform, the diverse landscape of social psychology.

The Psychology Of Technology

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Author : Sandra Matz
language : en
Publisher: American Psychological Association (APA)
Release Date : 2022-01-11

The Psychology Of Technology written by Sandra Matz and has been published by American Psychological Association (APA) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-11 with Psychology categories.

The rapid advancements in technology, and our increasing interaction with it, have key implications for the field of psychology. The Psychology of Technology brings together research from different subdisciplines across psychology to address the ways in which technology and Big Data are changing how psychological research is conducted. It also examines how technology allows us to better understand human psychology. This text showcases cutting-edge research at the intersection of psychology and technology to provide an outlook into the future of psychological research in a tech-enabled world. The growing capabilities and reach of technology show no signs of abating, so it is critically important that psychology understand it and harness it effectively and ethically. Chapters offer fascinating and novel insights about the human condition using digital technologies as a window into human psychology, highlight the opportunities and challenges people face interacting with digital tech, and address the consequences of technology for individuals and societies. The intricacies of human-machine interaction, analyses of digital footprints, and "big data" approaches are investigated in detail.

Big Data In Education

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Author : Ben Williamson
language : en
Publisher: SAGE
Release Date : 2017-07-24

Big Data In Education written by Ben Williamson and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-24 with Education categories.

Big data has the power to transform education and educational research. Governments, researchers and commercial companies are only beginning to understand the potential that big data offers in informing policy ideas, contributing to the development of new educational tools and innovative ways of conducting research. This cutting-edge overview explores the current state-of-play, looking at big data and the related topic of computer code to examine the implications for education and schooling for today and the near future. Key topics include: · The role of learning analytics and educational data science in schools · A critical appreciation of code, algorithms and infrastructures · The rise of ‘cognitive classrooms’, and the practical application of computational algorithms to learning environments · Important digital research methods issues for researchers This is essential reading for anyone studying or working in today′s education environment!

Big Data In Psychology

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Author : Mike W. L. Cheung
language : en
Publisher:
Release Date : 2019-03-11

Big Data In Psychology written by Mike W. L. Cheung and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-11 with Big data categories.

Big data is becoming more prevalent in psychology and the behavioral sciences, and so are the methodological and statistical issues that arise from its use. Psychologists need to be equipped to deal with these. Big data can be generated in experimental studies where, for example, participants' physiological and psychological responses are tracked over time or where human brain imaging is employed. Observational data from websites such as Facebook, Twitter, and Google is also of increasing interest to psychologists. These sometimes huge data sets, which are often too large for standard computers and can also contain multiple types of data, bring with them challenging questions about data quality and the generalizability of the results as well as which statistical tools are suitable for analyzing them.The contributions in this volume explore these challenges, looking at the potential of applying machine learning techniques to big data in psychology as well as the split/analyze/meta-analyze (SAM) approach, which allows big data to be split up into smaller datasets so they can be analyzed with conventional multivariate techniques on standard computers. The issues of replicability, prediction accuracy, and combining types of data are also investigated.

Analysing Qualitative Data In Psychology

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Author : Evanthia Lyons
language : en
Publisher: SAGE
Release Date : 2007-10-25

Analysing Qualitative Data In Psychology written by Evanthia Lyons and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-25 with Psychology categories.

Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods.

The Wiley Blackwell Companion To Sociology

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Author : George Ritzer
language : en
Publisher: John Wiley & Sons
Release Date : 2016-09-26

The Wiley Blackwell Companion To Sociology written by George Ritzer and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-26 with Social Science categories.

Featuring a collection of original chapters by leading and emerging scholars, The Wiley-Blackwell Companion to Sociology presents a comprehensive and balanced overview of the major topics and emerging trends in the discipline of sociology today. Features original chapters contributed by an international cast of leading and emerging sociology scholars Represents the most innovative and 'state-of-the-art' thinking about the discipline Includes a general introduction and section introductions with chapters summaries by the editor

Big Data And Social Science

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Author : Ian Foster
language : en
Publisher: CRC Press
Release Date : 2016-08-10

Big Data And Social Science written by Ian Foster and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-08-10 with Mathematics categories.

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice. The book provides practical guidance on combining methods and tools from computer science, statistics, and social science. This concrete approach is illustrated throughout using an important national problem, the quantitative study of innovation. The text draws on the expertise of prominent leaders in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as the best analytical and computational tools. It uses a real-world challenge to introduce how these tools are used to identify and capture appropriate data, apply data science models and tools to that data, and recognize and respond to data errors and limitations. For more information, including sample chapters and news, please visit the author's website.