The effects of linguistic factors on student performance on economics multiple choice questions
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Description
This paper proposes a framework to analyse performance on multiple choice questions with the focus on linguistic factors. Item Response Theory (IRT) is deployed to estimate ability and question difficulty levels. A logistic regression model is used to detect Differential Item Functioning questions. Probit models testify relationships between performance and linguistic factors controlling the effects of question construction and students’ background. Empirical results have important implications. The lexical density of stems affects performance. The use of non-Economics specialised vocabulary has differing impacts on the performance of students with different language backgrounds. The IRT-based ability and difficulty help explain performance variations.
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| ID Code: | 58004 | ||||
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| Item Type: | Contribution to Newspaper, Magazine or Website (Article) | ||||
| Refereed: | No | ||||
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| Keywords: | Item Response Theory, linguistic factors, multiple choice questions | ||||
| DOI: | 10.2139/ssrn.2121816 | ||||
| Pure ID: | 60282823 | ||||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Education Past > QUT Faculties & Divisions > QUT Business School |
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| Copyright Owner: | Copyright 2012 Social Science Electronic Publishing | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 11 Mar 2013 05:19 | ||||
| Last Modified: | 03 Mar 2024 07:41 |
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