Bayesian Model Assessment for Jointly Modeling Multidimensional Response Data with Application to Computerized Testing
Author:
Funder
Directorate for Social, Behavioral and Economic Sciences
InCHIP Seed Grant
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,General Psychology
Link
https://link.springer.com/content/pdf/10.1007/s11336-022-09845-x.pdf
Reference45 articles.
1. Bolsinova, M., de Boeck, P., & Tijmstra, J. (2017). Modelling conditional dependence between response time and accuracy. Psychometrika, 82(4), 1126–1148.
2. Bolt, D. M., Wollack, J. A., & Suh, Y. (2012). Application of a multidimensional nested logit model to multiple-choice test items. Psychometrika, 77(2), 339–357.
3. Celeux, G., Forbes, F., Robert, C. P., & Titterington, D. M. (2006). Deviance information criteria for missing data models. Bayesian Analysis, 1(4), 651–673.
4. Chan, J. C., & Grant, A. L. (2016). Fast computation of the deviance information criterion for latent variable models. Computational Statistics and Data Analysis, 100, 847–859.
5. Chen, G., & Luo, S. (2018). Bayesian hierarchical joint modeling using skew-normal/independent distributions. Communications in Statistics-Simulation and Computation, 47(5), 1420–1438.
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