Results 11 to 20 of about 230,628 (307)
This Monte Carlo study assessed Type I error in differential item functioning analyses using Lord’s chi-square (LC), Likelihood Ratio Test (LRT), and Mantel-Haenszel (MH) procedure.
Emily Diaz +2 more
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Detecting Differential Item Functioning in Multidimensional Graded Response Models With Recursive Partitioning. [PDF]
Classe F, Kern C.
europepmc +3 more sources
Background Item response theory (IRT) methods for addressing differential item functioning (DIF) can detect group differences in responses to individual items (e.g., bias).
E. Nichols +13 more
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Thepurpose of this study is to determine whether English test items ofUndergraduate Placement Exam (UPE) in 2016 containdifferential item functioning (DIF) and differential bundle functioning (DBF)in terms of gender and school type and examine the ...
Rabia Akcan, Kübra Atalay Kabasakal
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Examination of Gender-Related Differential Item Functioning Through Poly-BW Indices
The existing differential item functioning (DIF) detection approaches relying on item difficulty or item discrimination are limited for understanding the associates of DIF items, and consequently, DIF items were conventionally either deleted or ignored ...
Tsai-Wei Huang +3 more
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A Simulation and Empirical Study of Differential Test Functioning (DTF)
Detecting and understanding DTF is very important under various DIF conditions. In this study, the performance of DTF, DRF, SIBTEST, and CSIBTEST approaches in detecting DIF effects was investigated using a simulation study and a real dataset.
Güler Yavuz Temel
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A new method for detecting differential item functioning in the Rasch model [PDF]
Differential item functioning (DIF) can lead to an unfair advantage or disadvantage for certain subgroups in educational and psychological testing. Therefore, a variety of statistical methods has been suggested for detecting DIF in the Rasch model.
Kopf, Julia +2 more
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Detection of Uniform and Non-Uniform Differential Item Functioning by Item Focussed Trees [PDF]
Detection of differential item functioning by use of the logistic modelling approach has a long tradition. One big advantage of the approach is that it can be used to investigate non-uniform DIF as well as uniform DIF.
Berger, Moritz, Tutz, Gerhard
core +2 more sources
Statistical and extra-statistical considerations in differential item functioning analyses
This article briefly describes the main procedures for performing differential item functioning (DIF) analyses and points out some of the statistical and extra-statistical implications of these methods.
G. K. Huysamen
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In the social sciences, the performance of two groups is frequently compared based on a cognitive test involving binary items. Item response models are often utilized for comparing the two groups.
Alexander Robitzsch
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