2020
DOI: 10.23977/langta.2020.030102
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Gender-related Differential Item Functioning Analysis on an ESL Test

Abstract: Differential item functioning (DIF) is a technique used to examine whether items function differently across different groups. The DIF analysis helps detect bias in an assessment to ensure the fairness of the assessment. However, most of the previous research has focused on high-stakes assessments. There is a dearth in research that laying emphasis on low-stakes assessments, which is also significant for the test development and validation process. Additionally, gender difference in test performance is always … Show more

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Cited by 3 publications
(2 citation statements)
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“…More examples illustrate how homogeneity plays an essential role in the theoretical formulation or experiment design. Such instances include the cross corpora analysis (Kilgarriff, 2001 ; Kilgarriff and Grefenstette, 2003 ; Denoual, 2005 ; Smith and Kelly, 2002 ), topical dispersion analysis (Sahlgren and Karlgren, 2005 ), second language (L2) writing classification (Crossley and McNamara, 2011 ), and language assessment validations (Yao and Chen, 2020 ; Jang et al 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…More examples illustrate how homogeneity plays an essential role in the theoretical formulation or experiment design. Such instances include the cross corpora analysis (Kilgarriff, 2001 ; Kilgarriff and Grefenstette, 2003 ; Denoual, 2005 ; Smith and Kelly, 2002 ), topical dispersion analysis (Sahlgren and Karlgren, 2005 ), second language (L2) writing classification (Crossley and McNamara, 2011 ), and language assessment validations (Yao and Chen, 2020 ; Jang et al 2015 ).…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, Zumbo (2007) also pointed out this problem and called for exploring the reasons for DIF. In fact, some studies have made efforts to answer this why question (e.g., Li et al, 2004 ; Yao and Chen, 2020 ). However, only a weak relationship was found between gender DIF and task types, but no convincing explanations could be provided (see detailed discussion in the next section).…”
Section: Introductionmentioning
confidence: 99%