文件名称:IRT parameter estmation
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Bradley A. Hanson
Date: October 28, 1998
Revised: September 27, 2000
Summary: These are notes to accompany a lecture I gave in a seminar at the University of Iowa taught by Mike Kolen. A detailed descr iption is given of using the EM algorithm to compute maximum likelihood parameter estimates in IRT models for dichotomous items. An example of applying the procedures described is given using a generalized Guttman scale model. Brief descr iptions of how to use the EM algorithm to compute Bayes modal parameter estimates and maximum likelihood parameter estimates for polytomous IRT models are given in the final section.
Date: October 28, 1998
Revised: September 27, 2000
Summary: These are notes to accompany a lecture I gave in a seminar at the University of Iowa taught by Mike Kolen. A detailed descr iption is given of using the EM algorithm to compute maximum likelihood parameter estimates in IRT models for dichotomous items. An example of applying the procedures described is given using a generalized Guttman scale model. Brief descr iptions of how to use the EM algorithm to compute Bayes modal parameter estimates and maximum likelihood parameter estimates for polytomous IRT models are given in the final section.
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压缩包 : IRT Parameter Estimation 2e_.zip 列表 IRT Parameter Estimation 2e_.pdf