Item response theory : parameter estimation techniques /
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| Author / Creator: | Baker, Frank B. |
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| Edition: | 2. ed., rev. and expanded |
| Imprint: | New York : M. Dekker, c2004. |
| Description: | xx, 495 p. : ill. ; 24 cm. + 1 computer optical disc (4 3/4 in.) |
| Language: | English |
| Series: | Statistics : textbooks and monographs ; 176 Statistics, textbooks and monographs ; v. 176. |
| Subject: | |
| Format: | Print Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/5340333 |
| Summary: | 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. |
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| Item Description: | Accompanying CD-ROM contains "Basic and Java code." |
| Physical Description: | xx, 495 p. : ill. ; 24 cm. + |
| Bibliography: | Includes bibliographical references (p. [465]-481) and index. |
| ISBN: | 0824758250 |
