受测者潜在特质非正态分布时的IRT参数估计方法经典文献推荐之二

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Empirical Histograms in Item Response Theory With Ordinal Data

Carol M. Woods
Washington University in St. Louis

The purpose of this research is to describe, test, and illustrate a new implementation of
the empirical histogram (EH) method for ordinal items. The EH method involves the
estimation of item response model parameters simultaneously with the approximation
of the distribution of the random latent variable (θ) as a histogram. Software for the EH
method with ordinal items (having more than two response options) has not been
readily available in the past but was created for the present research. Simulation results
suggest that with larger (but not smaller) numbers of quadrature points, graded-model
item parameter estimates from the EH method are highly accurate when the θ distribution
is either normal or skewed. Results for expected a posteriori scores depend on the
magnitude of θ.

Keywords: item response theory; IRT; nonnormality; empirical histogram; expectation
Maximation; EM; marginal maximum likelihood; MML


这是一篇使用经验直方图估计受测者潜在特质分布IRT方法的文献。同样也是一种可以处理受测者潜在特质非正态分布的方法。

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关键词：非正态分布 经典文献 正态分布 参数估计 非正态

不错的文章。学习了。不错，到时候总结几种方法。比较优劣。

还有很多种估计潜在特质的方法，我会在最近的时间里分享给大家

thanks for your sharing, xie xie