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 |
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100 | 1 | |a Baker, Frank B. |0 http://id.loc.gov/authorities/names/n85025690 |1 http://viaf.org/viaf/44580100 | |
245 | 1 | 0 | |a Item response theory : |b parameter estimation techniques / |c Frank B. Baker, Seock-Ho Kim. |
250 | |a 2. ed., rev. and expanded | ||
260 | |a New York : |b M. Dekker, |c c2004. | ||
300 | |a xx, 495 p. : |b ill. ; |c 24 cm. + |e 1 computer optical disc (4 3/4 in.) | ||
336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
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490 | 1 | |a Statistics : textbooks and monographs ; |v 176 | |
500 | |a Accompanying CD-ROM contains "Basic and Java code." | ||
504 | |a Includes bibliographical references (p. [465]-481) and index. | ||
505 | 0 | 0 | |g 1. |t The item characteristic curve : dichotomous response -- |g 2. |t Estimating the parameters of an item characteristic curve -- |g 3. |t Maximum likelihood estimation of examinee ability -- |g 4. |t Procedures for estimating both ability and item parameters -- |g 5. |t The Rasch model -- |g 6. |t Parameter estimation via MMLE and an EM algorithm -- |g 7. |t Bayesian parameter estimation procedures -- |g 8. |t The graded item response -- |g 9. |t Nominally scored items -- |g 10. |t Parameter estimation for multiple group data -- |g 11. |t Estimation of item parameters of mixed models -- |g 12. |t Parameter estimation via Gibbs sampler -- |g A. |t Implementation of maximum likelihood estimation of item parameters -- |g B. |t Implementation of maximum likelihood estimation of examinee's ability -- |g C. |t Implementation of JMLE procedure for the Rasch model -- |g D. |t Implementation of item parameter estimation via MMLE/EM -- |g E. |t Implementing the Bayesian approach -- |g F. |t Implementation of parameter estimation under the graded response model -- |g G. |t Implementation of MLE under nominal response scoring -- |g H. |t Implementation of MMLE/EM for the Rasch model -- |g I. |t Implementation of multiple groups estimation -- |g J. |t Implementation of estimation for mixed models -- |g K. |t Implementation of Gibbs sampler. |
650 | 0 | |a Parameter estimation. |0 http://id.loc.gov/authorities/subjects/sh85097853 | |
650 | 7 | |a Parameter estimation. |2 fast |0 http://id.worldcat.org/fast/fst01052990 | |
700 | 1 | |a Kim, Seock-Ho. |0 http://id.loc.gov/authorities/names/no2005006576 |1 http://viaf.org/viaf/51967997 | |
830 | 0 | |a Statistics, textbooks and monographs ; |v v. 176. | |
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