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

是 否 +2 论坛币

k人 参与回答

经管之家送您一份

应届毕业生专属福利!

求职就业群

赵安豆老师微信：zhaoandou666

经管之家联合CDA

送您一个全额奖学金名额~ !

立即领取

感谢您参与论坛问题回答

经管之家送您两个论坛币！

+2 论坛币

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.


该文献偏向于实践应用方面，供参考。

扫码加我 拉你入群

请注明：姓名-公司-职位

以便审核进群资格，未注明则拒绝

分享0 收藏1 回帖

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。。