Original Research

An investigation of Mathematical Literacy assessment supported by an application of Rasch measurement

Caroline Long, Sarah Bansilal, Rajan Debba
Pythagoras | Vol 35, No 1 | a235 | DOI: https://doi.org/10.4102/pythagoras.v35i1.235 | © 2014 Caroline Long, Sarah Bansilal, Rajan Debba | This work is licensed under CC Attribution 4.0
Submitted: 27 June 2013 | Published: 26 August 2014

About the author(s)

Caroline Long, Faculty of Education, University of Pretoria, South Africa
Sarah Bansilal, Department of Mathematics Education, University of KwaZulu-Natal, South Africa
Rajan Debba, Department of Mathematics Education, University of KwaZulu-Natal, South Africa


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Abstract

Mathematical Literacy (ML) is a relatively new school subject that learners study in the final 3 years of high school and is examined as a matric subject. An investigation of a 2009 provincial examination written by matric pupils was conducted on both the curriculum elements of the test and learner performance. In this study we supplement the prior qualitative investigation with an application of Rasch measurement theory to review and revise the scoring procedures so as to better reflect scoring intentions. In an application of the Rasch model, checks are made on the test as a whole, the items and the learner responses, to ensure coherence of the instrument for the particular reference group, in this case Mathematical Literacy learners in one high school. In this article, we focus on the scoring of polytomous items, that is, items that are scored 0, 1, 2 … m. We found in some instances indiscriminate mark allocations, which contravened assessment and measurement principles. Through the investigation of each item, the associated scoring logic and the output of the Rasch analysis, rescoring was explored. We report here on the analysis of the test prior to rescoring, the analysis and rescoring of individual items and the post rescore analysis. The purpose of the article is to address the question: How may detailed attention to the scoring of the items in a Mathematical Literacy test, through theoretical investigation and the application of the Rasch model, contribute to a more informative and coherent outcome?


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