Item relational structure theory based on Liu's improved nonparametric IRT theory

Hsiang Chuan Liu, Yen Kuei Yu, Hsien-Chang Tsai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Traditional Item relational structure theory can only be used to detect the item relational structure for a group of subjects, but not for individuals. In this paper, an extensional item relational structure theory based on Liu's new improved nonparametric item response theory is proposed. It can be used to detect the item relational structure for not only a group of subjects, but also each individual. This new method may provide more information for planning remedial instruction, developing instruction materials, or educational researches than before. A mathematics example is also provided in this paper to illustrate the advantages of the proposed method.

Original languageEnglish
Title of host publicationApplied Science and Precision Engineering Innovation
Pages1193-1196
Number of pages4
DOIs
Publication statusPublished - 2014 Jan 1
EventInternational Applied Science and Precision Engineering Conference 2013, ASPEC 2013 - NanTou, Taiwan
Duration: 2013 Oct 182013 Oct 22

Publication series

NameApplied Mechanics and Materials
Volume479-480
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Other

OtherInternational Applied Science and Precision Engineering Conference 2013, ASPEC 2013
CountryTaiwan
CityNanTou
Period13-10-1813-10-22

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Liu, H. C., Yu, Y. K., & Tsai, H-C. (2014). Item relational structure theory based on Liu's improved nonparametric IRT theory. In Applied Science and Precision Engineering Innovation (pp. 1193-1196). (Applied Mechanics and Materials; Vol. 479-480). https://doi.org/10.4028/www.scientific.net/AMM.479-480.1193