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Multidimensionality and Item Bias in Item Response Theory [PDF]
Applied Psychological Measurement, 1992 This paper demonstrates empirically how item bias indexes based on item response theory (IRT) identify bias that results from multidimensionality. When a test is multidimensional (MD) with a primary trait and a nuisance trait that affects a small portion of the test, item bias is defined as a mean difference on the nuisance trait between two groups ...
Oshima, T. C., Miller, M. David
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Item bias detection using loglinear irt [PDF]
Psychometrika, 1989 A method is proposed for the detection of item bias with respect to observed or unobserved subgroups. The method uses quasi-loglinear models for the incomplete subgroup × test score × Item 1 × ... × item k contingency table. If subgroup membership is unknown the models are Haberman's incomplete-latent-class models.The (conditional) Rasch model is ...
Kelderman, Henk, Henk Kelderman
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Invariance and item bias of the Mental Health Continuum Short-Form for South African university first-year students [PDF]
African Journal of Psychological AssessmentOver the last decade, higher education institutions (HEIs) have become increasingly interested in student well-being. However, since the student population is very diverse in South Africa, questionnaires measuring the well-being of students must be ...
Karina Mostert +2 more
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Differential Item Functioning and Item Bias: Critical Considerations in Test Fairness
Studies in Applied Linguistics & TESOL, 2006 In recent years, policy makers, administrators, and test developers in the field of second language assessment have paid considerable attention to the issue of test fairness.
Michael Perrone
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Quantity bias in comparison-shopping of multi-item baskets.
PLoS ONE, 2022 Comparison-shopping applications are widespread and have been the subject of considerable research and development. There has also been widespread recognition that people are predictably irrational when making shopping decisions. In this work, we combine
Ross Niswanger, Eric Walden
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Bias and Linking Error in Fixed Item Parameter Calibration
AppliedMathThe two-parameter logistic (2PL) item response theory (IRT) model is frequently applied to analyze group differences for multivariate binary random variables.
Alexander Robitzsch
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A Short Note on Aberrant Responses Bias in Item Response Theory
Frontiers in Psychology, 2019 Item response models often cannot calculate true individual response probabilities because of the existence of response disturbances (such as guessing and cheating).
Bing Jia, Xue Zhang, Zhemin Zhu
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Psychometric properties of the Flourishing Scale for South African first-year students
African Journal of Psychological Assessment, 2023 This study focused on a positive construct of well-being, namely flourishing. In a multicultural and diverse country such as South Africa, it is a legal requirement to provide evidence that measures of psychological constructs, like flourishing, are fair,
Karina Mostert +2 more
doaj +1 more source
Examining the Fairness of the University Entrance Exam: A Latent Class Analysis Approach to Differential Item Functioning [PDF]
Issues in Language Teaching, 2021 Measurement has been ubiquitous in all areas of education for at least a century. Various methods have been suggested to examine the fairness of education tests especially in high-stakes contexts.
Sayyed Mohammad Alavi +2 more
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International Journal of Assessment Tools in Education, 2017 This study intended to investigate theoperations of various theory-based Differential Item Functioning (DIF) methodsunder different scoring situations.
Hüseyin Selvi, Devrim Alıcı
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