A Speeded Item Response Model: Leave the Harder till Later

Yu Wei Chang, Rung-Ching Tsai, Nan Jung Hsu

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

A speeded item response model is proposed. We consider the situation where examinees may retain the harder items to a later test period in a time limit test. With such a strategy, examinees may not finish answering some of the harder items within the allocated time. In the proposed model, we try to describe such a mechanism by incorporating a speeded-effect term into the two-parameter logistic item response model. A Bayesian estimation procedure of the current model using Markov chain Monte Carlo is presented, and its performance over the two-parameter logistic item response model in a speeded test is demonstrated through simulations. The methodology is applied to physics examination data of the Department Required Test for college entrance in Taiwan for illustration.

Original languageEnglish
Pages (from-to)255-274
Number of pages20
JournalPsychometrika
Volume79
Issue number2
DOIs
Publication statusPublished - 2014 Jan 1

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Keywords

  • Markov chain Monte Carlo
  • item response model
  • test speededness

ASJC Scopus subject areas

  • Psychology(all)
  • Applied Mathematics

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