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Books > Reference & Interdisciplinary > Communication studies > Research methods
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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences (Paperback, New)
Loot Price: R2,567
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Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences (Paperback, New)
Series: Quantitative Methodology Series
Expected to ship within 10 - 15 working days
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This book reviews the latest techniques in exploratory data mining
(EDM) for the analysis of data in the social and behavioral
sciences to help researchers assess the predictive value of
different combinations of variables in large data sets.
Methodological findings and conceptual models that explain reliable
EDM techniques for predicting and understanding various risk
mechanisms are integrated throughout. Numerous examples illustrate
the use of these techniques in practice. Contributors provide
insight through hands-on experiences with their own use of EDM
techniques in various settings. Readers are also introduced to the
most popular EDM software programs. A related website at
http://mephisto.unige.ch/pub/edm-book-supplement/offers color
versions of the book's figures, a supplemental paper to chapter 3,
and R commands for some chapters. The results of EDM analyses can
be perilous - they are often taken as predictions with little
regard for cross-validating the results. This carelessness can be
catastrophic in terms of money lost or patients misdiagnosed. This
book addresses these concerns and advocates for the development of
checks and balances for EDM analyses. Both the promises and the
perils of EDM are addressed. Editors McArdle and Ritschard taught
the "Exploratory Data Mining" Advanced Training Institute of the
American Psychological Association (APA). All contributors are top
researchers from the US and Europe. Organized into two
parts--methodology and applications, the techniques covered include
decision, regression, and SEM tree models, growth mixture modeling,
and time based categorical sequential analysis. Some of the
applications of EDM (and the corresponding data) explored include:
selection to college based on risky prior academic profiles the
decline of cognitive abilities in older persons global perceptions
of stress in adulthood predicting mortality from demographics and
cognitive abilities risk factors during pregnancy and the impact on
neonatal development Intended as a reference for researchers,
methodologists, and advanced students in the social and behavioral
sciences including psychology, sociology, business, econometrics,
and medicine, interested in learning to apply the latest
exploratory data mining techniques. Prerequisites include a basic
class in statistics.
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