Literature DB >> 31853157

A Psychometric Model for Discrete-Option Multiple-Choice Items.

Daniel M Bolt1, Nana Kim1, James Wollack1, Yiqin Pan1, Carol Eckerly2, John Sowles3.   

Abstract

Discrete-option multiple-choice (DOMC) items differ from traditional multiple-choice (MC) items in the sequential administration of response options (up to display of the correct option). DOMC can be appealing in computer-based test administrations due to its protection of item security and its potential to reduce testwiseness effects. A psychometric model for DOMC items that attends to the random positioning of key location across different administrations of the same item is proposed, a feature that has been shown to affect DOMC item difficulty. Using two empirical data sets having items administered in both DOMC and MC formats, the variability in key location effects across both items and persons is considered. The proposed model exploits the capacity of the DOMC format to isolate both (a) distinct sources of item difficulty (i.e., related to the identification of keyed responses versus the ruling out of distractor options) and (b) distinct person proficiencies related to the same two components. Practical implications in terms of the randomized process applied to schedule item key location in DOMC test administrations are considered.
© The Author(s) 2019.

Entities:  

Keywords:  discrete-option multiple-choice items; item response theory; multiple-choice items

Year:  2019        PMID: 31853157      PMCID: PMC6906389          DOI: 10.1177/0146621619835499

Source DB:  PubMed          Journal:  Appl Psychol Meas        ISSN: 0146-6216


  2 in total

1.  Do sequentially-presented answer options prevent the use of testwiseness cues on continuing medical education tests?

Authors:  Sonja Willing; Martin Ostapczuk; Jochen Musch
Journal:  Adv Health Sci Educ Theory Pract       Date:  2014-06-21       Impact factor: 3.853

2.  Asymmetric Item Characteristic Curves and Item Complexity: Insights from Simulation and Real Data Analyses.

Authors:  Sora Lee; Daniel M Bolt
Journal:  Psychometrika       Date:  2017-09-25       Impact factor: 2.500

  2 in total
  1 in total

1.  Two New Models for Item Preknowledge.

Authors:  Kylie Gorney; James A Wollack
Journal:  Appl Psychol Meas       Date:  2022-06-22
  1 in total

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