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There have been tremendous advancements in technology-based
assessments in new modes of data collection and the use of
artificial intelligence. Traditional assessment techniques in the
fields of psychology, business, education, and health need to be
reconsidered. Yet, while technology is pervasive, its spread is not
consistent due to national differences in economics and culture.
Given these trends, this book offers an integrative consolidation
of how technology is changing the face of assessments across
different regions of the world. There are three major book
sections: in foundations, core issues of computational models,
passively sensed data, and privacy concerns are discussed; in
global perspectives, the book identifies ways technology has
changed how we assess human attributes across the world, and
finally, in regional focus, the book surveys how different regions
around the world have adopted technology-based assessments for
their unique cultural and societal context.
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 and 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.
There have been tremendous advancements in technology-based
assessments in new modes of data collection and the use of
artificial intelligence. Traditional assessment techniques in the
fields of psychology, business, education, and health need to be
reconsidered. Yet, while technology is pervasive, its spread is not
consistent due to national differences in economics and culture.
Given these trends, this book offers an integrative consolidation
of how technology is changing the face of assessments across
different regions of the world. There are three major book
sections: in foundations, core issues of computational models,
passively sensed data, and privacy concerns are discussed; in
global perspectives, the book identifies ways technology has
changed how we assess human attributes across the world, and
finally, in regional focus, the book surveys how different regions
around the world have adopted technology-based assessments for
their unique cultural and societal context.
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