Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Regularized Bayesian calibration and scoring of the WD-FAB IRT model
  improves predictive performance over marginal maximum likelihood   Item response theory (IRT) is the statistical paradigm underlying a dominant
family of generative probabilistic models for test responses, used to quantify
traits in individuals relative to target populations. The graded response model
(GRM) is a particular IRT model that is used for ordered polytomous test
responses. Both the development and the application of the GRM and other IRT
models require statistical decisions. For formulating these models
(calibration), one needs to decide on methodologies for item selection,
inference, and regularization. For applying these models (test scoring), one
needs to make similar decisions, often prioritizing computational tractability
and/or interpretability. In many applications, such as in the Work Disability
Functional Assessment Battery (WD-FAB), tractability implies approximating an
individual's score distribution using estimates of mean and variance, and
obtaining that score conditional on only point estimates of the calibrated
model. In this manuscript, we evaluate the calibration and scoring of models
under this common use-case using Bayesian cross-validation. Applied to the
WD-FAB responses collected for the National Institutes of Health, we assess the
predictive power of implementations of the GRM based on their ability to yield,
on validation sets of respondents, ability estimates that are most predictive
of patterns of item responses. Our main finding indicates that regularized
Bayesian calibration of the GRM outperforms the regularization-free empirical
Bayesian procedure of marginal maximum likelihood. We also motivate the use of
compactly supported priors in test scoring.

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The categories of this paper are: bayes-an
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The categories of this paper are: mtrl-th
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The categories of this paper are: adap-org
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The categories of this paper are: eess
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The categories of this paper are: hep-ex
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The categories of this paper are: cs
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The categories of this paper are: dg-ga
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The categories of this paper are: astro-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: patt-sol
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The categories of this paper are: hep-th
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The categories of this paper are: chem-ph
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The categories of this paper are: chao-dyn
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The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: nucl-th