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Books > Social sciences > Psychology > Occupational & industrial psychology
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Group Processes - Data-Driven Computational Approaches (Hardcover, 1st ed. 2017)
Loot Price: R3,827
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Group Processes - Data-Driven Computational Approaches (Hardcover, 1st ed. 2017)
Series: Computational Social Sciences
Expected to ship within 18 - 22 working days
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This volume introduces a series of different data-driven
computational methods for analyzing group processes through
didactic and tutorial-based examples. Group processes are of
central importance to many sectors of society, including
government, the military, health care, and corporations.
Computational methods are better suited to handle (potentially
huge) group process data than traditional methodologies because of
their more flexible assumptions and capability to handle real-time
trace data. Indeed, the use of methods under the name of
computational social science have exploded over the years. However,
attention has been focused on original research rather than
pedagogy, leaving those interested in obtaining computational
skills lacking a much needed resource. Although the methods here
can be applied to wider areas of social science, they are
specifically tailored to group process research. A number of
data-driven methods adapted to group process research are
demonstrated in this current volume. These include text mining,
relational event modeling, social simulation, machine learning,
social sequence analysis, and response surface analysis. In order
to take advantage of these new opportunities, this book provides
clear examples (e.g., providing code) of group processes in various
contexts, setting guidelines and best practices for future work to
build upon. This volume will be of great benefit to those willing
to learn computational methods. These include academics like
graduate students and faculty, multidisciplinary professionals and
researchers working on organization and management science, and
consultants for various types of organizations and groups.
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