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Saaatcioglu, Fatima Munevver – International Journal of Assessment Tools in Education, 2022
The aim of this study is to investigate the presence of DIF over the gender variable with the latent class modeling approach. The data were collected from 953 students who participated in the PISA 2018 8th-grade financial literacy assessment in the USA. Latent Class Analysis (LCA) approach was used to identify the latent classes, and the data fit…
Descriptors: International Assessment, Achievement Tests, Secondary School Students, Gender Differences
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Cuellar, Edwin; Partchev, Ivailo; Zwitser, Robert; Bechger, Timo – Educational Assessment, Evaluation and Accountability, 2021
International large-scale assessment in education aims to compare educational achievement across many countries. Differences between countries in language, culture, and education give rise to differential item functioning (DIF). For many decades, DIF has been regarded as a nuisance and a threat to validity. In this paper, we take a different…
Descriptors: International Assessment, Academic Achievement, Test Bias, Achievement Tests
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Oliveri, Maria Elena; Ercikan, Kadriye; Lyons-Thomas, Juliette; Holtzman, Steven – Applied Measurement in Education, 2016
Differential item functioning (DIF) analyses have been used as the primary method in large-scale assessments to examine fairness for subgroups. Currently, DIF analyses are conducted utilizing manifest methods using observed characteristics (gender and race/ethnicity) for grouping examinees. Homogeneity of item responses is assumed denoting that…
Descriptors: Test Bias, Language Minorities, Effect Size, Foreign Countries
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Grover, Raman K.; Ercikan, Kadriye – Applied Measurement in Education, 2017
In gender differential item functioning (DIF) research it is assumed that all members of a gender group have similar item response patterns and therefore generalizations from group level to subgroup and individual levels can be made accurately. However DIF items do not necessarily disadvantage every member of a gender group to the same degree,…
Descriptors: Gender Differences, Test Bias, Socioeconomic Status, Reading Achievement
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Yildirim, Huseyin H.; Yildirim, Selda – Hacettepe University Journal of Education, 2011
Multivariate matching in Differential Item Functioning (DIF) analyses may contribute to understand the sources of DIF. In this context, detecting appropriate additional matching variables is a crucial issue. This present article argues that the variables which are correlated with communalities in item difficulties can be used as an additional…
Descriptors: Test Bias, Multivariate Analysis, Probability, Regression (Statistics)