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Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research (Hardcover, 1st ed. 2018)
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Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research (Hardcover, 1st ed. 2018)
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This book explores the fundamentals of multidimensional scaling
(MDS) and how this analytic method can be used in applied setting
for educational and psychological research. The book tries to make
MDS more accessible to a wider audience in terms of the language
and examples that are more relevant to educational and
psychological research and less technical so that the readers are
not overwhelmed by equations. The goal is for readers to learn the
methods described in this book and immediately start using MDS via
available software programs. The book also examines new
applications that have previously not been discussed in MDS
literature. It should be an ideal book for graduate students and
researchers to better understand MDS. Fundamentals of Applied
Multidimensional Scaling for Educational and Psychological Research
is divided into three parts. Part I covers the basic and
fundamental features of MDS models pertaining to applied research
applications. Chapters in this section cover the essential features
of data that are typically associated with MDS analysis such as
preference ration or binary choice data, and also looking at metric
and non-metric MDS models to build a foundation for later
discussion and applications in later chapters. Part II examines
specific MDS models and its applications for education and
psychology. This includes spatial analysis methods that can be used
in MDS to test clustering effect of items and individual
differences MDS model (INDSCAL). Finally, Part III focuses on new
applications of MDS analysis in these research fields. These new
applications consist of profile analysis, longitudinal analysis,
mean-level change, and pattern change. The book concludes with a
historical review of MDS development as an analytical method and a
look to future directions.
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