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Statistical Test Theory for the Behavioral Sciences: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

Autor Dato N. M. de Gruijter, Leo J Th van der Kamp
en Limba Engleză Paperback – 5 sep 2019
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 Theory for 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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Specificații

ISBN-13: 9780367388676
ISBN-10: 0367388677
Pagini: 280
Dimensiuni: 156 x 234 x 13 mm
Greutate: 0.45 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Seria Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences


Cuprins

Preface. Measurement and Scaling. Classical Test Theory. Classical Test Theory and Reliability. Estimating Reliability. Generalizability Theory. Models for Dichotomous Items. Validity and Validation of Tests. Principal Component Analysis, Factor Analysis, and Structural Equation Modeling: A Very Brief Introduction. Item Response Models. Applications of Item Response Theory. Test Equating. Answers. References. Index.

Notă biografică

de Gruijter, Dato N. M.; van der Kamp, Leo J. Th.

Descriere

This book provides both a broad overview and a critical survey of assorted testing theories and models used in psychology, education, and other behavioral science fields. It explores the relationships and differences between several theories—including classical test, generalizability, and item response—and their applications. The authors present recent developments in testing, such as computerized adaptive testing, and use real data from the areas of psychology and education. The text also includes exercises at the end of each chapter with solutions in an appendix.