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.
General
| Imprint: |
Crc Press
|
| Country of origin: |
United States |
| Series: |
Statistics: A Series of Textbooks and Monographs |
| Release date: |
July 2004 |
| First published: |
2004 |
| Editors: |
Frank B. Baker
• Seock-Ho Kim
|
| Dimensions: |
241 x 165 x 35mm (L x W x T) |
| Format: |
Hardcover - Unsewn / adhesive bound
|
| Pages: |
495 |
| Edition: |
2nd edition |
| ISBN-13: |
978-0-8247-5825-7 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
| LSN: |
0-8247-5825-0 |
| Barcode: |
9780824758257 |
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