【独家发布】KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory

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文献摘要：
Item response theory (IRT) models are a class of statistical models used to describe
the response behaviors of individuals to a set of items having a certain number of options.
They are adopted by researchers in social science, particularly in the analysis of perfor-
mance or attitudinal data, in psychology, education, medicine, marketing and other fields
where the aim is to measure latent constructs. Most IRT analyses use parametric models
that rely on assumptions that often are not satisfied. In such cases, a nonparametric
approach might be preferable; nevertheless, there are not many software implementations
allowing to use that.
To address this gap, this paper presents the R package KernSmoothIRT. It implements
kernel smoothing for the estimation of option characteristic curves, and adds several plot-
ting and analytical tools to evaluate the whole test/questionnaire, the items, and the
subjects. In order to show the package’s capabilities, two real datasets are used, one
employing multiple-choice responses, and the other scaled responses.


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关键词：smoothing response package smooth kernel education marketing medicine science number

多谢分享

书海溪流 发表于 2016-6-17 14:39
多谢分享

r实在太强大了

shengzhouwang 发表于 2016-6-24 17:18
r实在太强大了

我 现在是用R来 这个功能

shengzhouwang 发表于 2016-6-24 17:18
r实在太强大了

我 现在是用R来 这个功能

downloaded to learn (in particular using R), thanks for your sharing, xie xie

xiexie1111 发表于 2016-7-17 13:32
downloaded to learn (in particular using R), thanks for your sharing, xie xie

不客气。。