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The Effects of Linguistic Factors on Student Performance on Economics Multiple Choice Questions
Author(s) -
VietNgu Hoang,
Lyn May,
Tommy Tang
Publication year - 2012
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2121816
Subject(s) - differential item functioning , vocabulary , ordered probit , linguistics , item response theory , probit model , logistic regression , focus (optics) , probit , psychology , multiple choice , ordered logit , econometrics , cognitive psychology , computer science , economics , machine learning , psychometrics , developmental psychology , philosophy , reading (process) , physics , optics
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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