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Calculating the Random Guess Score of Multiple-Response and Matching Test Items

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 829))

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.

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Notes

  1. 1.

    Some other methods try to incorporate student’s knowledge level in estimating guessing level using formula scoring [10] but this is abandoned because of validity problems [11].

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Acknowledgment

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

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Correspondence to Silvester Draaijer .

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Draaijer, S., Jordan, S., Ogden, H. (2018). Calculating the Random Guess Score of Multiple-Response and Matching Test Items. In: Ras, E., Guerrero Roldán, A. (eds) Technology Enhanced Assessment. TEA 2017. Communications in Computer and Information Science, vol 829. Springer, Cham. https://doi.org/10.1007/978-3-319-97807-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-97807-9_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-97806-2

  • Online ISBN: 978-3-319-97807-9

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