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...)

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


…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: 4.0 out of 5 stars See all reviews (3 customer reviews)
• Amazon.com Sales Rank: #551,324 in Books (See Bestsellers in Books)

Customer Reviews

Most Helpful Customer Reviews

1 of 1 people found the following review helpful:

4.0 out of 5 stars Great resource but leaves a gap for applicability, March 21, 2008

By	J. Humphries (New Orleans, LA United States) - See all my reviews (REAL NAME)

This text does an excellent job of tying IRT theories together and explaining the underlying premises for this important realm of testing and assessment. However, I was seeking a book less burried in theories and more of a how-to manual. This text establishes a foundation for someone to understand how to apply IRT but does not offer a quick and easy to use reference for a practitioner seeking to consider the nuances of preferable approaches to test development and scoring.

3.0 out of 5 stars There's no CD which should be included , March 8, 2009

By	Minsun Cho "mintsun" (USA, New York) - See all my reviews (REAL NAME)

The price is lower, but there is no CD which should be included in the book. Considering this, the price is not that lower. However, the book itself has the codes, so you may need not the CD..

5.0 out of 5 stars awesome, October 3, 2008

By	Anastasi Fan (New Rochelle, NY) - See all my reviews

This is book is awesome at explaining the IRT model in plain English. It it not full of esoteric jargon, and it allows the reader to clearly grasp the fundamentals of IRT.