Results 31 to 40 of about 655,169 (388)
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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Real and Artificial Differential Item Functioning in Polytomous Items [PDF]
Differential item functioning (DIF) for an item between two groups is present if, for the same person location on a variable, persons from different groups have different expected values for their responses. Applying only to dichotomously scored items in the popular Mantel–Haenszel (MH) method for detecting DIF in which persons are classified by their
Curt Hagquist, David Andrich
openaire +3 more sources
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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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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Translating patient‐reported outcome measures (PROMs) can alter the meaning of items and undermine the PROM's psychometric properties (quantified as cross‐cultural differential item functioning [DIF]). The aim of this paper was to present the theoretical
M. Krogsgaard+9 more
semanticscholar +1 more source
A Penalty Approach to Differential Item Functioning in Rasch Models [PDF]
A new diagnostic tool for the identification of differential item functioning (DIF) is proposed. Classical approaches to DIF allow to consider only few subpopulations like ethnic groups when investigating if the solution of items depends on the ...
Schauberger, Gunther, Tutz, Gerhard
core +1 more source
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
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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When Does Differential Item Functioning Matter for Screening? A Method for Empirical Evaluation
When items in a screening measure exhibit differential item functioning (DIF) across groups (e.g., males vs. females), DIF might affect which individuals are “caught” in the screening.
Oscar Gonzalez, W. Pelham
semanticscholar +1 more source