The Generalized Thurstonian Unfolding Model (GTUM): Advancing the modeling of forced-choice data
Forced-choice (FC) measurement has become increasingly popular due to its robustness to
various response biases and reduced susceptibility to faking. Although several current Item …
various response biases and reduced susceptibility to faking. Although several current Item …
A note on improving variational estimation for multidimensional item response theory
Survey instruments and assessments are frequently used in many domains of social
science. When the constructs that these assessments try to measure become multifaceted …
science. When the constructs that these assessments try to measure become multifaceted …
Variational Bayes inference algorithm for the saturated diagnostic classification model
Saturated diagnostic classification models (DCM) can flexibly accommodate various
relationships among attributes to diagnose individual attribute mastery, and include various …
relationships among attributes to diagnose individual attribute mastery, and include various …
Variational Bayes inference for the DINA model
In this article, we propose a variational Bayes (VB) inference method for the deterministic
input noisy AND gate model of cognitive diagnostic assessment. The proposed method …
input noisy AND gate model of cognitive diagnostic assessment. The proposed method …
Estimating three-and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder
Multidimensional Item Response Theory (MIRT) is widely used in educational and
psychological assessment and evaluation. With the increasing size of modern assessment …
psychological assessment and evaluation. With the increasing size of modern assessment …
Usable and precise asymptotics for generalized linear mixed model analysis and design
We derive precise asymptotic results that are directly usable for confidence intervals and
Wald hypothesis tests for likelihood-based generalized linear mixed model analysis. The …
Wald hypothesis tests for likelihood-based generalized linear mixed model analysis. The …
Gaussian variational estimation for multidimensional item response theory
Multidimensional item response theory (MIRT) is widely used in assessment and evaluation
of educational and psychological tests. It models the individual response patterns by …
of educational and psychological tests. It models the individual response patterns by …
Fast and accurate estimation of non-nested binomial hierarchical models using variational inference
M Goplerud - Bayesian Analysis, 2022 - projecteuclid.org
The supporting information contains derivations of the variational algorithm (Appendix A),
formal definitions and proofs of MAVB (Appendix B), results on accelerating CAVI using PX …
formal definitions and proofs of MAVB (Appendix B), results on accelerating CAVI using PX …
Cross-classified random effects modeling for moderated item calibration
S Chung, L Cai - Journal of Educational and Behavioral …, 2021 - journals.sagepub.com
In the research reported here, we propose a new method for scale alignment and test
scoring in the context of supporting students with disabilities. In educational assessment …
scoring in the context of supporting students with disabilities. In educational assessment …
Partially factorized variational inference for high-dimensional mixed models
While generalized linear mixed models are a fundamental tool in applied statistics, many
specifications, such as those involving categorical factors with many levels or interaction …
specifications, such as those involving categorical factors with many levels or interaction …