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Statistical Test Theory for the Behavioral Sciences (Paperback)
Loot Price: R1,954
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Statistical Test Theory for the Behavioral Sciences (Paperback)
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences
Expected to ship within 12 - 17 working days
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Since the development of the first intelligence test in the early
20th century, educational and psychological tests have become
important measurement techniques to quantify human behavior.
Focusing on this ubiquitous yet fruitful area of research,
Statistical Test Theoryfor the Behavioral Sciences provides both a
broad overview and a critical survey of assorted testing theories
and models used in psychology, education, and other behavioral
science fields. Following a logical progression from basic concepts
to more advanced topics, the book first explains classical test
theory, covering true score, measurement error, and reliability. It
then presents generalizability theory, which provides a framework
to deal with various aspects of test scores. In addition, the
authors discuss the concept of validity in testing, offering a
strategy for evidence-based validity. In the two chapters devoted
to item response theory (IRT), the book explores item response
models, such as the Rasch model, and applications, including
computerized adaptive testing (CAT). The last chapter looks at some
methods used to equate tests. Equipped with the essential material
found in this book, advanced undergraduate and graduate students in
the behavioral sciences as well as researchers involved in
measurement and testing will gain valuable insight into the
research methodologies and statistical data analyses of behavioral
testing.
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