Modeling Examinee Heterogeneity in Discrete Option Multiple Choice Items

Nana Kim, Daniel M. Bolt, James Wollack, Yiqin Pan, Carol Eckerly, John Sowles

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

1 Scopus citations

Abstract

A new format for computer-based administration of multiple- choice items, the discrete option multiple choice (DOMC) item, is receiving growing attention due to potential advantages related both to item security and control of testwiseness. A unique feature of the DOMC format is the potential for an examinee to respond incorrectly to an item for different reasons—either failure to select a correct response, or selection of a distractor response. This feature motivates consideration of a new item response model that introduces an individual differences trait related to general proclivity to select response options. Using empirical data from an actual DOMC test, we validate the model by demonstrating the statistical presence of such a trait and discuss its implications for test equity in DOMC tests and the potential value for added item administration constraints.

Original languageEnglish (US)
Title of host publicationQuantitative Psychology - 83rd Annual Meeting of the Psychometric Society, 2018
EditorsRianne Janssen, Jorge González, Marie Wiberg, Steven Culpepper, Dylan Molenaar
PublisherSpringer New York LLC
Pages383-392
Number of pages10
ISBN (Print)9783030013097
DOIs
StatePublished - 2019
Externally publishedYes
Event83rd Annual meeting of the Psychometric Society, 2018 - New York, United States
Duration: Jul 9 2018Jul 13 2018

Publication series

NameSpringer Proceedings in Mathematics and Statistics
Volume265
ISSN (Print)2194-1009
ISSN (Electronic)2194-1017

Conference

Conference83rd Annual meeting of the Psychometric Society, 2018
Country/TerritoryUnited States
CityNew York
Period7/9/187/13/18

Bibliographical note

Publisher Copyright:
© 2019, Springer Nature Switzerland AG.

Keywords

  • Computer-based testing
  • Discrete option multiple-choice items
  • Item response model

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