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Item Response Models in Psychometrika and Psychometric Textbooks
Frontiers in Education, 2020 Item response theory modeling articles from 83 years of Psychometrika are sorted based on the taxonomy by Thissen and Steinberg (1986). Results from 377 research and review articles indicate that the usual unidimensional parametric item response theory ...
Seock-Ho Kim +12 more
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Multidimensional Item Response Theory in the Style of Collaborative Filtering
Psychometrika, 2022 This paper presents a machine learning approach to multidimensional item response theory (MIRT), a class of latent factor models that can be used to model and predict student performance from observed assessment data. Inspired by collaborative filtering, we define a general class of models that includes many MIRT models. We discuss the use of penalized
Yoav Bergner +2 more
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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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Frontiers in Psychology, 2022 As a branch of statistical latent variable modeling, multidimensional item response theory (MIRT) plays an important role in psychometrics. Multidimensional graded response model (MGRM) is a key model for the development of multidimensional computerized ...
Jianan Sun, Ziwen Ye, Lu Ren, Jingwen Li
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Item Selection Methods for Computer Adaptive Testing With Passages
Frontiers in Psychology, 2019 Computer adaptive testing (CAT) has been shown to shorten the test length and increase the precision of latent trait estimates. Oftentimes, test takers are asked to respond to several items that are related to the same passage.
Lihua Yao
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Item Response Modeling of Forced-Choice Questionnaires [PDF]
, 2011 Multidimensional forced-choice formats can significantly reduce the impact of numerous response biases typically associated with rating scales. However, if scored with classical methodology, these questionnaires produce ipsative data, which lead to ...
Alberto Maydeu-Olivares +3 more
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Gaussian variational estimation for multidimensional item response theory [PDF]
British Journal of Mathematical and Statistical Psychology, 2020 Multidimensional item response theory (MIRT) is widely used in assessment and evaluation of educational and psychological tests. It models the individual response patterns by specifying a functional relationship between individuals' multiple latent traits and their responses to test items. One major challenge in parameter estimation in MIRT is that the
April E. Cho +3 more
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Item Response Modeling of Paired Comparison and Ranking Data [PDF]
, 2010 The comparative format used in ranking and paired comparisons tasks can significantly reduce the impact of uniform response biases typically associated with rating scales.
Alberto Maydeu-Olivares +3 more
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Multidimensional item response theory and the Force Concept Inventory
Physical Review Physics Education Research, 2018 Research on the test structure of the Force Concept Inventory (FCI) has largely been performed with exploratory methods such as factor analysis and cluster analysis.
John Stewart +3 more
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A Monte Carlo study of IRTree models’ ability to recover item parameters
Frontiers in Psychology, 2023 Item response tree (IRTree) models are theorized to extract response styles from self-report data by utilizing multidimensional item response theory (IRT) models based on theoretical decision processes.
Gene M. Alarcon +2 more
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