Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery. (arXiv:2210.10952v1 [stat.ME])

The Work Disability Functional Assessment Battery (WD-FAB) is a
multidimensional item response theory (IRT) instrument designed for assessing
work-related mental and physical function based on responses to an item bank.
In prior iterations it was developed using traditional means -- linear
factorization, followed by statistical testing for item selection, and finally,
calibration of disjoint unidimensional IRT models. As a result, the WD-FAB,
like many other IRT instruments, is a posthoc model. In this manuscript, we
derive an interpretable probabilistic autoencoder …

arxiv battery bayesian factorization inference work