Results 11 to 20 of about 367,195 (301)
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
exaly +4 more sources
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 ...
Henk Kelderman
exaly +4 more sources
Item bias detection in the Hospital Anxiety and Depression Scale using structural equation modeling: comparison with other item bias detection methods. [PDF]
Qual Life Res, 2017 Purpose Comparison of patient-reported outcomes may be invalidated by the occurrence of item bias, also known as differential item functioning. We show two ways of using structural equation modeling (SEM) to detect item bias: (1) multigroup SEM, which ...
Verdam MGE, Oort FJ, Sprangers MAG.
europepmc +3 more sources
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
doaj +2 more sources
Reversed item bias: An integrative model. [PDF]
Psychological Methods, 2013 In the recent methodological literature, various models have been proposed to account for the phenomenon that reversed items (defined as items for which respondents' scores have to be recoded in order to make the direction of keying consistent across all items) tend to lead to problematic responses.
Weijters, Bert +2 more
openaire +3 more sources
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
doaj +4 more sources
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
doaj +3 more sources
The Reliability of Six Item Bias Indices
Applied Psychological Measurement, 1984 The reliabilities of six item bias indices were inves tigated for each of the eleven tests of the Iowa Tests of Basic Skills, using random samples of fifth-grade students. The reliability of an index was defined as its stability from one randomly equivalent group to an other. Both racial and sexual bias were considered.
Hoover, H. D., Kolen, Michael J.
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Federated Recommendation with Explicitly Encoding Item Bias
Proceedings of the AAAI Conference on Artificial IntelligenceWith the development of federated learning techniques and the increased need for user privacy protection, the federated recommendation has become a new recommendation paradigm. However, most existing works focus on user-level federated recommendation, leaving platform-level federated recommendation largely unexplored.
Zhihao Wang 0002 +5 more
openaire +2 more sources