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| Author | : Sang Eun Woo |
| Publisher | : American Psychological Association (APA) |
| Total Pages | : 0 |
| Release | : 2020 |
| Genre | : Psychology |
| ISBN | : 9781433831676 |
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.
| Author | : Scott Tonidandel |
| Publisher | : Routledge |
| Total Pages | : 321 |
| Release | : 2015-11-06 |
| Genre | : Psychology |
| ISBN | : 1317702697 |
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.
| Author | : Michael N. Jones |
| Publisher | : Psychology Press |
| Total Pages | : 384 |
| Release | : 2016-11-03 |
| Genre | : Computers |
| ISBN | : 1315413566 |
The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.
| Author | : Sandra Matz |
| Publisher | : American Psychological Association (APA) |
| Total Pages | : 320 |
| Release | : 2022-01-11 |
| Genre | : Psychology |
| ISBN | : 9781433836268 |
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.
| Author | : Craig A. Hill |
| Publisher | : John Wiley & Sons |
| Total Pages | : 784 |
| Release | : 2020-09-29 |
| Genre | : Social Science |
| ISBN | : 1118976320 |
Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection of snapshots from two sides of the Big Data perspective. It assembles an array of tangible tools, methods, and approaches that illustrate how Big Data sources and methods are being used in the survey and social sciences to improve official statistics and estimates for human populations. It also provides examples of how survey data are being used to evaluate and improve the quality of insights derived from Big Data. Big Data Meets Survey Science: A Collection of Innovative Methods shows how survey data and Big Data are used together for the benefit of one or more sources of data, with numerous chapters providing consistent illustrations and examples of survey data enriching the evaluation of Big Data sources. Examples of how machine learning, data mining, and other data science techniques are inserted into virtually every stage of the survey lifecycle are presented. Topics covered include: Total Error Frameworks for Found Data; Performance and Sensitivities of Home Detection on Mobile Phone Data; Assessing Community Wellbeing Using Google Street View and Satellite Imagery; Using Surveys to Build and Assess RBS Religious Flag; and more. Presents groundbreaking survey methods being utilized today in the field of Big Data Explores how machine learning methods can be applied to the design, collection, and analysis of social science data Filled with examples and illustrations that show how survey data benefits Big Data evaluation Covers methods and applications used in combining Big Data with survey statistics Examines regulations as well as ethical and privacy issues Big Data Meets Survey Science: A Collection of Innovative Methods is an excellent book for both the survey and social science communities as they learn to capitalize on this new revolution. It will also appeal to the broader data and computer science communities looking for new areas of application for emerging methods and data sources.
| Author | : Kathy A. Mills |
| Publisher | : Routledge |
| Total Pages | : 78 |
| Release | : 2019-03-14 |
| Genre | : Psychology |
| ISBN | : 0429509294 |
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.
| Author | : Mike W. L. Cheung |
| Publisher | : |
| Total Pages | : 80 |
| Release | : 2019-03-11 |
| Genre | : Big data |
| ISBN | : 9780889375512 |
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.
| Author | : Evanthia Lyons |
| Publisher | : SAGE |
| Total Pages | : 306 |
| Release | : 2007-10-25 |
| Genre | : Psychology |
| ISBN | : 0857024345 |
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.
| Author | : Joseph P. Forgas |
| Publisher | : Psychology Press |
| Total Pages | : 411 |
| Release | : 2013-07-31 |
| Genre | : Psychology |
| ISBN | : 1135011044 |
Language is the essence of interpersonal behavior and social relationships, and it is social cognitive processes that determine how we produce and understand language. However, there has been surprisingly little interest in the past linking social cognition and communication. This book presents the latest cutting-edge research from a select group of leading international scholars investigating the how language shapes our thinking, and how social cognitive processes in turn influence language production and communication. The chapters represent diverse perspectives of investigating the links between language and communication, including evolutionary, linguistic, cognitive and affective approaches as well as the empirical analysis of written and spoken narratives. New methodologies are presented including the latest techniques of text analysis to illuminate the psychology of individual language users, and entire cultures and societies. The chapters address such questions as how are cognitive and identity processes reflected in language? How do affective states influence language production? Are political correctness norms in language use effective? How do partners manage to accommodate to each other’s communicative expectations? What is the role of language as a medium of interpersonal and intergroup influence? How are individual and cultural identities reflected in, and shaped by narratives in literature, school texts and the media? The book is aimed at all students, researchers and laypersons interested in the interplay between thinking and communication, and should be required reading for all professionals who use language in their everyday work to interact with people.
| Author | : Kali H. Trzesniewski |
| Publisher | : American Psychological Association (APA) |
| Total Pages | : 264 |
| Release | : 2011 |
| Genre | : Psychology |
| ISBN | : |
This wide-ranging yet practical book shows how the analysis of secondary data can provide unique opportunities for advancing psychological science. --Book Jacket.
