Results 11 to 20 of about 19,101,034 (262)
Item Parameter Calibration in the Multidimensional Graded Response Model with High Dimensional Tests
Multidimensional item response models, such as the multidimensional graded response model (MGRM), are becoming increasingly common in educational and psychological research in part due to the associated advantages of multidimensional computerized adaptive testing. These methods, however, require known or calibrated item parameters. Existing research on
Kenneth McClure, Ross Jacobucci
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Differential item functioning (DIF) is a common challenge when examining latent traits in large scale surveys. In recent work, methods from the field of machine learning such as model-based recursive partitioning have been proposed to identify subgroups with DIF when little theoretical guidance and many potential subgroups are available. On this basis,
Classe, Franz, Kern, Christoph
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Item Parameter Recovery Using the Multidimensional Graded Response Model in R
The purpose of this study is to provide a step-by-step demonstration of item recovery for the Multidimensional Graded Response Model (MGRM) using R. For this purpose, an illustrative simulation setup was employed, including test lengths of 20 and 40 ...
Yeşim Beril Soğuksu +2 more
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BackgroundCurrently, information about the psychometric properties of the Resilience Measurement Scale (RESI-M) in family caregivers of children with cancer according to item response theory (IRT) is not available; this information could complement and ...
Said Jiménez +6 more
doaj +1 more source
There is a shortage of psychological tools to assess the mental well-being of Bangladeshi people covering the hedonic and the eudaimonic aspects of well-being.
Fatema Akhter Hiramoni, Oli Ahmed
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Item Response Modeling of Forced-Choice Questionnaires [PDF]
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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Modeling Response Time and Responses in Multidimensional Health Measurement
This study explored calibrating a large item bank for use in multidimensional health measurement with computerized adaptive testing, using both item responses and response time (RT) information.
Chun Wang, David J. Weiss, Shiyang Su
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Empathy is often split into an affective facet for embodied simulation or sometimes sensorial processing, and a cognitive facet for mentalizing and perspective-taking. However, a recent neurophenomenological framework proposes a graded view on empathy (i.
Niloufar Zebarjadi +9 more
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The Graded response model (GRM) with item parameters λ, τ, and person-specific parameters θ.
Julia Porcino (12378381) +3 more
core +1 more source
This study investigates the performance of estimation methods for multidimensional IRT models with dichotomous and polytomous data in two well-known IRT programs: SAS PROC IRT and the mirt package in R.
Ki Cole, Insu Paek
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