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Books > Computing & IT > Applications of computing > Databases > Data capture & analysis
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Innovative Psychometric Modeling and Methods (Hardcover)
Loot Price: R2,749
Discovery Miles 27 490
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Innovative Psychometric Modeling and Methods (Hardcover)
Series: The MARCES Book Series
Expected to ship within 10 - 15 working days
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The general theme of this book is to present innovative
psychometric modeling and methods. In particular, this book
includes research and successful examples of modeling techniques
for new data sources from digital assessments, such as eye-tracking
data, hint uses, and process data from game-based assessments. In
addition, innovative psychometric modeling approaches, such as
graphical models, item tree models, network analysis, and cognitive
diagnostic models, are included. Chapters 1, 2, 4 and 6 are about
psychometric models and methods for learning analytics. The first
two chapters focus on advanced cognitive diagnostic models for
tracking learning and the improvement of attribute classification
accuracy. Chapter 4 demonstrates the use of network analysis for
learning analytics. Chapter 6 introduces the conjunctive root
causes model for the understanding of prerequisite skills in
learning. Chapters 3, 5, 8, 9 are about innovative psychometric
techniques to model process data. Specifically, Chapters 3 and 5
illustrate the usage of generalized linear mixed effect models and
item tree models to analyze eye-tracking data. Chapter 8 discusses
the modeling approach of hint uses and response accuracy in
learning environment. Chapter 9 demonstrates the identification of
observable outcomes in the game-based assessments. Chapters 7 and
10 introduce innovative latent variable modeling approaches,
including the graphical and generalized linear model approach and
the dynamic modeling approach. In summary, the book includes
theoretical, methodological, and applied research and practices
that serve as the foundation for future development. These chapters
provide illustrations of efforts to model and analyze multiple data
sources from digital assessments. When computer-based assessments
are emerging and evolving, it is important that researchers can
expand and improve the methods for modeling and analyzing new data
sources. This book provides a useful resource to researchers who
are interested in the development of psychometric methods to solve
issues in this digital assessment age.
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