Exploration of the Validity of Gender Differences in Mathematics Assessment Using Differential Bundle Functioning

Ong, Yoke Mooi; Williams, Julian; Lamprianou, Iasonas

doi:10.1080/15305058.2011.555574

Cited by 8 publications

(7 citation statements)

References 61 publications

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“…In the same vein, βu index also shows the amount of DIF for more than one item. Yet, no systems of classification were recommended for the evaluation of the amount of DIF when used for more than one item (Gierl, Bisanz, Bisanz, Boughton, & Khaliq, 2001;Gierl, Bisanz, Bisanz, & Boughton, 2003;Ong, et al 2011). It is possible to relatively compare the βu statistics of both groups of items.…”

Section: Sibtestmentioning

confidence: 99%

“…However, the causes of different functioning in different groups cannot be detected through DIF analyses. Differential bundle functioning (DBF) analyses can be used in determining the sources of DIF, and thus it becomes possible to analyse whether or not the sources of DIF are accepted into the construct intended to be measured (Ong et al, 2011). These analyses test whether or not items having certain properties function as a group.…”

Section: Differential Bundle Functioningmentioning

confidence: 99%

“…For item groups, βu statistics is an effect size statistics expressing the amount of DBF. But no widely used schema is available for item groups level classification (Gierl et al, 2001;Gierl, et al 2003;Ong, et al 2011). There are studies trying to determine the sources of DIF by doing DBF analysis on pre-determined item groups in the literature (Gierl, et al 2001;Mendes-Barnett & Ercikan, 2006;Ryan & Chiu, 2001).…”

Section: Differential Bundle Functioningmentioning

confidence: 99%

“…As Ong, Williams and Lamprianou (2011) point out, the bias decision depends on the boundaries of the target construct to be measured, and clear cut limits are not always published or easy to draw. For example, when algorithmic procedural knowledge items function in favour of female candidates, it seems that the ability to perform operations in a step-by-step and organized manner is also effective in…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Detecting Differential Item Functioning Using SIBTEST, MH, LR and IRT Methods

Çepni

Kelecioğlu

2021

Eğitimde Ve Psikolojide Ölçme Ve Değerlendirme Dergisi

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Section: Sibtestmentioning

confidence: 99%

Section: Differential Bundle Functioningmentioning

confidence: 99%

Section: Differential Bundle Functioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Detecting Differential Item Functioning Using SIBTEST, MH, LR and IRT Methods

Çepni

Kelecioğlu

2021

Eğitimde Ve Psikolojide Ölçme Ve Değerlendirme Dergisi

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“…Researchers from different geographical contexts have presented explanations as to why DIF or DBF occurs. For example, a study from England (Ong, Williams, & Lamprianou, 2011, 2013 explained the gender DIF and DBF as a function of mental capability of processing, storing, and retrieving the item solution. A study from Turkey (Kalaycioglu & Berberoglu, 2011) explained that the DIF in items can be due to item format characteristics, subject matter-related factors, and cognitive skills measured on the test.…”

mentioning

confidence: 99%

Differential Performance on National Exams

et al. 2016

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The purpose of this study is to evaluate two methodological perspectives of test fairness using a national Secondary School Certificate (SSC) examinations. SSC is a suit of multi-subject national qualification tests at Grade 10 level in South Asian countries, such as Bangladesh, India, and Pakistan. Because it is a high-stakes test, the fairness of SSC tests is a major concern among public and educational policy planners. This study is a first attempt to investigate test fairness of the national SSC examination of Pakistan using two independent differential item functioning (DIF) and differential bundle functioning (DBF) procedures. The SSC was evaluated for possible gender bias using multiple-choice tests in three core subjects, namely, English, Mathematics, and Physics. The study was conducted in two phases using explanatory item response model (EIRM) and Simultaneous Item Bias Test (SIBTEST). In Phase 1, test items were studied for DIF, and items with severe DIF were flagged in each subject. In Phase 2, the item bundles were analyzed for DBF. Three items were detected with large DIF, one for each subject, and one item bundle was detected with a negligible DBF. Taken together, the results demonstrate that there is no major threat to the validity of the interpretation of examinees' test scores on the SSC examination. The outcome from this study provided evidence for test fairness, which will enhance test development practices at the national examination authorities.

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Differential Item Functioning by Education and Sex in Subtests of the Repeatable Battery Assessment of Neuropsychological Status

Kurt

Ates

2015

European Journal of Psychological Assessment

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The main objective of this study is to evaluate functions of the items changing with the gender and educational level in the List Learning and the Picture Naming subtests in the Repeatable Battery Assessment of Neuropsychological Status. The study was implemented on 315 volunteers consisting of 157 women and 158 males in the 20–79 age group with three different educational levels (107 graduates of primary school, 102 graduates of high school, and 106 graduates of university). Logistic Regression method was used to determine the items that included differential item functioning (DIF). As a result of the analyses, DIF was encountered in the Picture Naming that could cause bias in several items in levels B and C based on the gender and education variables. Although DIF was not found in the List Learning based on the gender variable, DIF was found in some items based on the education variable.

show abstract

Exploration of the Validity of Gender Differences in Mathematics Assessment Using Differential Bundle Functioning

Cited by 8 publications

References 61 publications

Detecting Differential Item Functioning Using SIBTEST, MH, LR and IRT Methods

Detecting Differential Item Functioning Using SIBTEST, MH, LR and IRT Methods

Differential Performance on National Exams

Differential Item Functioning by Education and Sex in Subtests of the Repeatable Battery Assessment of Neuropsychological Status

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