Results 11 to 20 of about 666,621 (187)
Item focussed Trees for the Identification of Items in Differential Item Functioning [PDF]
arXiv, 2015 A new method for the identification of differential item functioning (DIF) by using recursive partitioning techniques is proposed. We assume an extension of the Rasch model that allows for DIF being induced by an arbitrary number of covariates for each item.
Gerhard Tutz, Moritz Berger
arxiv +3 more sources
Joint Assessment of the Differential Item Functioning and Latent Trait Dimensionality of Students' National Tests [PDF]
arXiv, 2012 Within the educational context, students' assessment tests are routinely validated through Item Response Theory (IRT) models which assume unidimensionality and absence of Differential Item Functioning (DIF). In this paper, we investigate if such assumptions hold for two national tests administered in Italy to middle school students in June 2009: the ...
Michela Gnaldi +2 more
arxiv +3 more sources
Use of differential item functioning (DIF) analysis for bias analysis in test construction
SA Journal of Industrial Psychology, 2004 When differential item functioning (DIF) item analysis procedures based on item response theory (IRT) are used during test construction, it is possible to draw item characteristic curves for the same item for different subgroups.
Marié De Beer
doaj +3 more sources
Exploring differential item functioning in the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) [PDF]
BMC Musculoskeletal Disorders, 2012 Background The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) is a widely used patient reported outcome in osteoarthritis. An important, but frequently overlooked, aspect of validating health outcome measures is to establish if ...
Pollard Beth +2 more
doaj +2 more sources
Assessing Differential Item Functioning on the Test of Relational Reasoning [PDF]
Frontiers in Education, 2018 The test of relational reasoning (TORR) is designed to assess the ability to identify complex patterns within visuospatial stimuli. The TORR is designed for use in school and university settings, and therefore, its measurement invariance across diverse ...
Denis Dumas, Patricia Alexander
doaj +2 more sources
Modeling repeated self-reported outcome data: a continuous-time longitudinal Item Response Theory model [PDF]
Methods (2022), 2021 Item Response Theory (IRT) models have received growing interest in health science for analyzing latent constructs such as depression, anxiety, quality of life, or cognitive functioning from the information provided by each individual's items responses.
arxiv +1 more source
Differential item functioning via robust scaling [PDF]
Psychometrika 89 (2024) 796-821, 2022 This paper proposes a method for assessing differential item functioning (DIF) in item response theory (IRT) models. The method does not require pre-specification of anchor items, which is its main virtue. It is developed in two main steps, first by showing how DIF can be re-formulated as a problem of outlier detection in IRT-based scaling, then ...
arxiv +1 more source
DIF Analysis with Unknown Groups and Anchor Items [PDF]
Psychometrika 89 (2024) 267-295, 2023 Ensuring fairness in instruments like survey questionnaires or educational tests is crucial. One way to address this is by a Differential Item Functioning (DIF) analysis, which examines if different subgroups respond differently to a particular item, controlling for their overall latent construct level.
arxiv +1 more source
DIF Statistical Inference without Knowing Anchoring Items [PDF]
Psychometrika 88 (2023) 1097-1122, 2021 Establishing the invariance property of an instrument is a key step for establishing its measurement validity. Measurement invariance is typically assessed by differential item functioning (DIF) analysis, i.e., detecting DIF items whose response distribution depends on not only the latent trait measured by the instrument but also the group membership ...
arxiv +1 more source
A Simulation and Empirical Study of Differential Test Functioning (DTF)
Psych, 2023 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
doaj +1 more source