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5 Differential Item Functioning and Item Bias
2006Publisher Summary This chapter presents a description of many of the commonly employed methods in the detection of item bias. Because much of the statistical detection of item bias makes the use of differential item functioning (DIF) procedures, the majority of this chapter focuses on the description of statistical methods for the analysis of DIF ...
Randall D. Penfield, Gregory Camilli
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International Journal of Testing, 2015
Raju, van der Linden, and Fleer (1995) introduced a framework for differential functioning of items and tests (DFIT) for unidimensional dichotomous models. Since then, DFIT has been shown to be a quite versatile framework as it can handle polytomous as well as multidimensional models both at the item and test levels.
T. C. Oshima, Keith Wright, Nick White
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Raju, van der Linden, and Fleer (1995) introduced a framework for differential functioning of items and tests (DFIT) for unidimensional dichotomous models. Since then, DFIT has been shown to be a quite versatile framework as it can handle polytomous as well as multidimensional models both at the item and test levels.
T. C. Oshima, Keith Wright, Nick White
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Screening Test Items for Differential Item Functioning
Journal of Educational and Behavioral Statistics, 2014A method for medical screening is adapted to differential item functioning (DIF). Its essential elements are explicit declarations of the level of DIF that is acceptable and of the loss function that quantifies the consequences of the two kinds of inappropriate classification of an item.
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Assessment of differential item functioning.
Journal of applied measurement, 2009This study addresses several important issues in assessment of differential item functioning (DIF). It starts with the definition of DIF, effectiveness of using item fit statistics to detect DIF, and linear modeling of DIF in dichotomous items, polytomous items, facets, and testlet-based items.
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Ramsay-Curve Differential Item Functioning
Applied Psychological Measurement, 2011Differential item functioning (DIF) occurs when an item on a test, questionnaire, or interview has different measurement properties for one group of people versus another, irrespective of true group-mean differences on the constructs being measured. This article is focused on item response theory based likelihood ratio testing for DIF (IRT-LR or IRT ...
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Differential Item Functioning in Diagnostic Classification Models
2019Assessment of differential item functioning (DIF) in diagnostic classification models (DCMs) has begun to attract research attention. In previous studies, authors found that DIF detection in DCMs appeared to be very powerful even when most or all the items on the studied test had DIF and no scale purification was necessary.
Qiu, Xue-Lan +2 more
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Testing Differential Item Functioning in Small Samples
Multivariate Behavioral Research, 2019Differential item functioning (DIF) is a pernicious statistical issue that can mask true group differences on a target latent construct. A considerable amount of research has focused on evaluating methods for testing DIF, such as using likelihood ratio tests in item response theory (IRT).
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