【独家发布】IRT项目反应理论学习分享之GRM模型一篇好的文献

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文献名称：A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses英文摘要：

The generalized graded unfolding model (GGUM) is developed. This model allows for either binary or graded responses and generalizes previous item response models for unfolding in two useful ways. First, it implements a discrimination parameter that varies across items, which allows items to discriminate among respondents in different ways. Second, the GGUM permits response category threshold parameters to vary across items. Amarginal maximum likelihood algorithm is implemented to estimate GGUM item parameters, whereas person parameters are derived from an expected a posteriori technique. The applicability of the GGUM to common attitude testing situations is illustrated with real data on student attitudes toward abortion. Index terms: attitude measurement, generalized graded unfolding model, graded unfolding model, item response theory, Likert scale, marginal maximum likelihood, Thurstone scale, unfolding model.


最好的是文献中有：A Real-Data Example
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关键词：项目反应理论 理论学习 GRM IRT Generalized 模型 项目

[em17]

非常有用，感谢无私分享，

Jealy 发表于 2016-5-17 15:37

[em07][em07]

书海溪流 发表于 2016-5-17 17:24
非常有用，感谢无私分享，

一起学习学习。还请多多赐教

Thanks for your sharing, xie xie

谢谢分享，学习了

彩霞满天crystal 发表于 2016-5-18 16:20
谢谢分享，学习了

不客气一起学习

xiexie1111 发表于 2016-5-18 12:03
Thanks for your sharing, xie xie

不客气

谢谢分享