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Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: a Series of Textbooks and Monogrphs)
 
 
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Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: a Series of Textbooks and Monogrphs) (Hardcover)

by Frank B. Baker (Editor), Seock-Ho Kim (Editor) "The intelligence testing movement of the first four decades of the 20th century and its attendant controversies lead to the development of classical test theory..." (more)
Key Phrases: Monte Carlo, Ability Fig, Albert's Gibbs (more...)
4.0 out of 5 stars  (1 customer review)

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Buy this book with Test Equating, Scaling, and Linking: Methods and Practices (Statistics for Social and Behavioral Sciences) by Michael J. Kolen today!

Item Response Theory: Parameter Estimation Techniques, Second Edition (Statistics: a Series of Textbooks and Monogrphs) Test Equating, Scaling, and Linking: Methods and Practices (Statistics for Social and Behavioral Sciences)
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Editorial Reviews
Review
an excellent resource for the serious investigator doing research involving estimation of IRT model parameters.
-Journal of the American Statistical Association

Baker has the unique ability to present complex material in a form that is easily understood.This book belongs on the bookshelf of every advanced student in psychometrics. It should also prove invaluable to students in statistics.
-Journal of Educational Measurement


Product Description
Item Response Theory clearly describes the most recently developed IRT models and furnishes detailed explanations of algorithms that can be used to estimate the item or ability parameters under various IRT models. Extensively revised and expanded, this edition offers three new chapters discussing parameter estimation with multiple groups, parameter estimation for a test with mixed item types, and Markov chain Monte Carlo methods. It includes discussions on issues related to statistical theory, numerical methods, and the mechanics of computer programs for parameter estimation, which help to build a clear understanding of the computational demands and challenges of IRT estimation procedures.

Product Details
  • Hardcover: 528 pages
  • Publisher: CRC; 2 edition (July 20, 2004)
  • Language: English
  • ISBN-10: 0824758250
  • ISBN-13: 978-0824758257
  • Product Dimensions: 9.1 x 6.3 x 1.3 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: