Calculating the random guess score of multiple-response and matching test items

Silvester Draaijer*, Sally Jordan, Helen Ogden

*Corresponding author for this work

    Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

    Abstract

    For achievement tests, the guess score is often used as a baseline for the lowest possible grade for score to grade transformations and setting the cut scores. For test item types such as multiple-response, matching and drag-and-drop, determining the guess score requires more elaborate calculations than the more straightforward calculation of the guess score for True-False and multiple-choice test item formats. For various variants of multiple-response and matching types with respect to dichotomous and polytomous scoring, methods for determining the guess score are presented and illustrated with practical applications. The implications for theory and practice are discussed.

    Original languageEnglish
    Title of host publicationTechnology Enhanced Assessment - 20th International Conference, TEA 2017, Revised Selected Papers
    EditorsEric Ras, Ana Elena Guerrero Roldán
    PublisherSpringer/Verlag
    Pages210-222
    Number of pages13
    ISBN (Electronic)9783319978079
    ISBN (Print)9783319978062
    DOIs
    Publication statusPublished - 2018
    Event20th International Conference on Technology Enhanced Assessment, TEA 2017 - Barcelona, Spain
    Duration: 5 Oct 20176 Oct 2017

    Publication series

    NameCommunications in Computer and Information Science
    Volume829
    ISSN (Print)1865-0929
    ISSN (Electronic)1865-0937

    Conference

    Conference20th International Conference on Technology Enhanced Assessment, TEA 2017
    Country/TerritorySpain
    CityBarcelona
    Period5/10/176/10/17

    Funding

    We would like to thank Dick Neeleman of the Vrije Universiteit Amsterdam for his contribution to this article.

    FundersFunder number
    Vrije Universiteit Amsterdam

      Keywords

      • Cut score
      • Item-writing
      • MCQs
      • Multiple-choice questions
      • Question development
      • Selected response questions
      • Selected response test items
      • Standard setting
      • Test development

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