A model for multiple‐choice problem selection

Maomi Ueno, Keizo Nagaoka

Research output: Contribution to journalArticle

Abstract

This paper proposes a new model for the alternative selection process for multiple‐choice test items. The model has the following features in the description: (1) it can cope with the real‐time data, and (2) it is based on the entropy model. The feature of each selection item can be represented using the estimated parameters. Furthermore, using the indices derived from the model parameters, the extent of “illusion” among the test items can be represented quantitatively. The method is applied to the actual data and the following points are discussed: (1) validity of the model, (2) analysis of the characteristics of the selection item, and (3) characteristics analysis of alternative selection process. The effectiveness of the method is demonstrated.

Original languageEnglish
Pages (from-to)14-23
Number of pages10
JournalElectronics and Communications in Japan, Part III: Fundamental Electronic Science (English translation of Denshi Tsushin Gakkai Ronbunshi)
Volume77
Issue number2
DOIs
Publication statusPublished - 1994
Externally publishedYes

Keywords

  • data analysis
  • Educational technology
  • entropy model

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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