Item Relational Structure Theory Based on Liu’s Improved Nonparametric IRT Theory

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In this paper, an extensional item relational structure theory based on the improved nonparametric item response theory is proposed. Item relational structure theory (Takeya, 1991) was developed to detect item relational structures of a group of subjects. The differences of these structures and experts knowledge structures can provide more information for planning remedial instruction, developing instruction materials, or educational researches. In this study, Lius improved nonparametric item response theory ( Liu, 2000, 2013) without the local independence assumption is used to estimate the joint probability of two items, and construct personal item relational structures. A Mathematics example is also provided in this paper to illustrate the advantages of the proposed method

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1193-1196

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] P.W. Airasian and W.M. Bart: Journal of Education Technology Vol. 5 (1973), pp.56-60.

Google Scholar

[2] M. Takeya: Japan Journal of Educational Technology Vol. 5 (1980), pp.93-103.

Google Scholar

[3] E. A. Nadaraya: Theory of probability and its applications Vol. 10 (1964), pp.186-190.

Google Scholar

[4] G. S. Watson: Sankhya, series A Vol. 26 (1964), pp.359-372.

Google Scholar

[5] J. O. Ramsay: Psychometrika Vol. 56 (1991), pp.611-630.

Google Scholar

[6] H.C. Liu: Journal of Educational Measurement and Statistics Vol. 8 (2000), pp.1-22.

Google Scholar

[7] H.C. Liu: in Proceeding of 2013 Conference of Innovation Technology in Electron, Signal and Communication, National Kaohsiung University of Applied Sciences, May. 31. 2013, pp.11-12.

Google Scholar