KernSmoothIRT: An R Package allowing for Kernel Smoothing in Item Response Theory
نویسندگان
چکیده
Item Response Theory (IRT) models enable researchers to evaluate test or survey subjects and questions simultaneously to more accurately judge the difficulty and quality of the test as well as the strength of each subject. Most IRT analyses use parametric models, often without satisfying the necessary assumptions of these models. The KernSmoothIRT package uses kernel smoothing from Ramsay (1991) to estimate item and option characteristic curves as well produce several test and subject based plots. This nonparametric IRT analysis does not rely on the assumptions of the most common parametric methods. This package aims to be intuitive and user friendly; its usefulness is shown with two real examples, one multiple choice, and the other a scaled response.
منابع مشابه
Contributions to Kernel Equating
Andersson, B. 2014. Contributions to Kernel Equating. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences 106. 24 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9089-8. The statistical practice of equating is needed when scores on different versions of the same standardized test are to be compared. This thesis constitutes four contributions...
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