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Reporting of Subscores Using Multidimensional Item Response Theory
Psychometrika, 2010Recently, there has been increasing interest in reporting subscores. This paper examines reporting of subscores using multidimensional item response theory (MIRT) models (e.g., Reckase in Appl. Psychol. Meas. 21:25–36, 1997; C.R. Rao and S. Sinharay (Eds), Handbook of Statistics, vol. 26, pp.
Haberman, Shelby J., Sinharay, Sandip
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Item Response Theory Models for Multidimensional Ranking Items
2016Multidimensional ranking items, in which different statements aim at different latent traits, are commonly used to measure noncognitive latent traits (e.g., career interests, attitudes, and personality). In this study, we developed two new item response theory models for multidimensional ranking items that yield statement utilities and person measures.
Wen-Chung Wang +3 more
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A Basis for Multidimensional Item Response Theory
Applied Psychological Measurement, 2000Independent clusters, as treated in classical linear factor analysis, provide a desirable basis for multidimensional item response models, yielding interpretable and useful results. The independentclusters basis serves to determine dimensionality, while establishing a pattern for the item parameter matrix that provides identifiability conditions and ...
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Multidimensional Item Response Theory Models
2009As the previous chapters suggest, it is not difficult to conceive of test items that require more than one hypothetical construct to determine the correct response. However, when describing multidimensional item response theory (MIRT) models, care should be taken to distinguish between dimensions as defined by MIRT models, which represent statistical ...
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The Past and Future of Multidimensional Item Response Theory
Applied Psychological Measurement, 1997Multidimensional item response theory (MIRT) is a relatively new methodology for modeling the relationships in a matrix of responses to a set of test items. MIRT has been used to help understand the skills required to successfully respond to test items, the extraneous examinee characteristics that affect the probability of response to items (DIF), and ...
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Psychometrika, 2020
For test development in the setting of multidimensional item response theory, the exploratory and confirmatory approaches lie on two ends of a continuum in terms of the loading and residual structures. Inspired by the recent development of the Bayesian Lasso (least absolute shrinkage and selection operator), this research proposes a partially ...
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For test development in the setting of multidimensional item response theory, the exploratory and confirmatory approaches lie on two ends of a continuum in terms of the loading and residual structures. Inspired by the recent development of the Bayesian Lasso (least absolute shrinkage and selection operator), this research proposes a partially ...
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Multidimensional Item Response Theory
2018Christopher D. Desjardins, Okan Bulut
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Local Minima in Multidimensional Item Response Theory Models
Multivariate Behavioral Research, 2023Hoang V, Nguyen, Niels G, Waller
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Multidimensional Item Response Theory Parameter Estimation With Nonsimple Structure Items
Applied Psychological Measurement, 2010Estimation of multidimensional item response theory (MIRT) model parameters can be carried out using the normal ogive with unweighted least squares estimation with the normal-ogive harmonic analysis robust method (NOHARM) software. Previous simulation research has demonstrated that this approach does yield accurate and efficient estimates of item ...
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