Project Activities
People and institutions involved
IES program contact(s)
Products and publications
Chen, Y., Li, C., Ouyang, J., & Xu, G. (2023). A note on statistical inference for noisy incomplete 1-bit matrix. Journal of Machine Learning Research.
Chiou, S. H., Xu, G., Yan, J., & Huang, C. Y. (2023). Regression modeling for recurrent events possibly with an informative terminal event using R package reReg. Journal of Statistical Software, 105, 1-34.
Chiou, S. H., Xu, G., Yan, J., & Huang, C. Y. (2021). Regression Modeling for Recurrent Events Using R Package reReg. arXiv preprint arXiv:2104.11708.
Cho, A. E., Xiao, J., Wang, C., & Xu, G. (2022). Regularized variational estimation for exploratory item factor analysis. Psychometrika, 1-29.
Cho, A. E., Wang, C., Zhang, X., & Xu, G. (2021). Gaussian variational estimation for multidimensional item response theory. British Journal of Mathematical and Statistical Psychology, 74, 52-85.
Gu, Y., Erosheva, E. A., Xu, G., & Dunson, D. B. (2023). Dimension-grouped mixed membership models for multivariate categorical data. Journal of Machine Learning Research, 24(88), 1-49.
Jiang, S., Xiao, J., & Wang, C. (2022). On-the-fly parameter estimation based on item response theory in item-based adaptive learning systems. Behavior Research Methods, 1-21.
Liu, T., Wang, C., & Xu, G. (2022). Estimating three-and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder. Frontiers in Psychology, 13, 935419.
Lu, J., Wang, C., & Shi, N. (2023). A mixture response time process model for aberrant behaviors and item nonresponses. Multivariate Behavioral Research, 58(1), 71-89.
Lu, J., Wang, C., Zhang, J., & Wang, X. (2023). A sequential Bayesian changepoint detection procedure for aberrant behaviours in computerized testing. British Journal of Mathematical and Statistical Psychology.
Ma, C., Ouyang, J., & Xu, G. (2023). Learning latent and hierarchical structures in cognitive diagnosis models. Psychometrika, 88(1), 175-207.
Ma, W., Wang, C., & Xiao, J. (2023). A testlet diagnostic classification model with attribute hierarchies. Applied Psychological Measurement, 47(3), 183-199.
Ma, C., & Xu, G. (2021). Hypothesis testing for hierarchical structures in cognitive diagnosis models. arXiv preprint arXiv:2106.03218.
Meng, X., & Xu, G. (2022). A mixed stochastic approximation EM (MSAEM) algorithm for the estimation of the four-parameter normal ogive model. Psychometrika, 1-36.
Ouyang, J., & Xu, G. (2022). Identifiability of latent class models with covariates. psychometrika, 87(4), 1343-1360.
Wang, C., Zhu, R., & Xu, G. (2023). Using lasso and adaptive lasso to identify DIF in multidimensional 2PL models. Multivariate Behavioral Research, 58(2), 387-407.
Wang, Z., Wang, C., & Weiss, D. J. (2022). Termination criteria for grid multiclassification adaptive testing with multidimensional polytomous items. Applied Psychological Measurement, 46(7), 551-570.
Zhang, X., & Wang, C. (2022). Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data. Applied Psychological Measurement, 46(8), 705-719.
Zhang, J., Wang, C., & Lu, J. (2023). Modeling item revisiting behavior in computer-based testing: Exploring the effect of item revisitations as collateral information. Behavior Research Methods, 1-21.
Supplemental information
Co-Principal Investigator: Xu, Gongjun
Questions about this project?
To answer additional questions about this project or provide feedback, please contact the program officer.
