Testlet Response Theory and Its Applications

ISBN-10: 052168126X

ISBN-13: 9780521681261

Edition: 2007

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Description: The measurement models employed to score tests have been evolving over the past century from those that focus on the entire test (true score theory) to models that focus on individual test items (item response theory) to models that use small groups of items (testlets) as the fungible unit from which tests are constructed and scored (testlet response theory, or TRT). In this book, the inventors of TRT trace the history of this evolution and explain the character of modern TRT. Written for researchers and professionals in statistics, psychometrics, and educational psychology, the first part of the book offers an accessible introduction to TRT and its applications. The second part presents a comprehensive, self-contained discussion of the model couched within a fully Bayesian framework. Its parameters are estimated using Markov chain Monte Carlo procedures, and the resulting posterior distributions of the parameter estimates yield insights into score stability that were previously unsuspected.

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Book details

List price: $54.99
Copyright year: 2007
Publisher: Cambridge University Press
Publication date: 3/19/2007
Binding: Paperback
Pages: 280
Size: 6.00" wide x 8.75" long x 0.75" tall
Weight: 0.836
Language: English

Eric T. Bradlowis the K.P. Chao Professor ofMarketing, Statistics, and Education at the Wharton School.Keith E. Niedermeieris the Director of theUndergraduate Marketing Program at the Wharton School.Patti Williamis an Associate Professor ofMarketing at the Wharton School.

Peface
Introduction to Testlets
Introduction
True score theory
Item response theory
What's a testlet and why do we need them?
The origins of testlet response theory - three alternatives
Fitting testlets with polytomous IRT models
Bayesian Testlet Response Theory
A brief history and the basic ideas of modern testlet response theory
The 2-PL Bayesian testlet model
The 3-PL Bayesian testlet model
A Bayesian testlet model for a mixture of binary and polytomous data
A Bayesian testlet model with covariates
Testlet nonresponse theory: dealing with missing data
Two Applications and a Tutorial
Using posterior distributions to evaluate passing scores: the PPoP curve
A Bayesian method for studying DIF: a cautionary tale filled with surprises and delights
A Bayesian primer
Glossary of terms
Epilogue
Bibliography
Author Index
Subject Index
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