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005 | 20180130134101.0 | ||
008 | 151020m20169999flu b 001 0 eng | ||
020 | _a9781466514324 (alk. paper : vol. 2) | ||
040 | _erda | ||
050 | 0 | 0 |
_aBF 39.2.I84 _b.H191 2016 v.2 |
245 | 0 | 0 |
_aHandbook of item response theory / _cedited by Wim J. van der Linden, Pacific Metrics, Monterey, California. |
260 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2015- |
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264 | 1 |
_aBoca Raton : _bCRC Press, Taylor & Francis Group, _c2015- |
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265 | _aFFB | ||
300 |
_axxv, 427 pages ; _c26 cm. |
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336 |
_atext _2rdacontent |
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337 |
_aunmediated _2rdamedia |
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338 |
_avolume _2rdacarrier |
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490 | 1 | _aChapman & Hall/CRC Statistics in the Social and Behavioral Sciences Series. | |
504 | _aIncludes bibliographical references and index. | ||
505 | 1 | _a-- Volume 2. Statistical tools -- | |
520 | _aDrawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While (IRT) heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. | ||
520 | _aVolume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods. | ||
650 | 0 |
_aItem response theory. _919349 |
|
650 | 0 |
_aPsychometrics. _919346 |
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650 | 0 |
_aPsychology _xMathematical models. _919350 |
|
700 | 1 |
_aLinden, Wim J. van der, _eeditor. _919351 |
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942 |
_2lcc _cGS |
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984 |
_a064795 _blac |