Item-Weighted Likelihood Method for Ability Estimation in Tests Composed of Both Dichotomous and Polytomous Items

Jian Tao, Ning Zhong Shi, Hua Hua Chang

Research output: Contribution to journalArticle

Abstract

For mixed-type tests composed of both dichotomous and polytomous items, polytomous items often yield more information than dichotomous ones. To reflect the difference between the two types of items, polytomous items are usually pre-assigned with larger weights. We propose an item-weighted likelihood method to better assess examinees' ability levels. Simulation results show that the estimated ability based on the new procedure is more consistent with examinee's true ability than the usual maximum likelihood method.

Original languageEnglish (US)
Pages (from-to)298-315
Number of pages18
JournalJournal of Educational and Behavioral Statistics
Volume37
Issue number2
DOIs
StatePublished - Apr 1 2012

Keywords

  • bias
  • dichotomous response
  • generalized partial credit model
  • item-weighted likelihood
  • mixed-type test
  • polytomous response

ASJC Scopus subject areas

  • Education
  • Social Sciences (miscellaneous)

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