Project Activities
People and institutions involved
IES program contact(s)
Products and publications
Publications:
Journal article, monograph, or newsletter
Chen, Y., Li, X., Liu, J., Xu, G., and Ying, Z. (2017). Exploratory Item Classification Via Spectral Graph Clustering. Applied Psychological Measurement, 41(8), 579-599.
Lu, J., & Wang, C. (2020). A response time process model for not-reached and omitted items. Journal of Educational Measurement, 57(4), 584-620.
Wang, C., & Lu, J. (2021). Learning attribute hierarchies from data: Two exploratory approaches. Journal of Educational and Behavioral Statistics, 46(1), 58-84.
Wang, C., & Nydick, S. W. (2020). On longitudinal item response theory models: A didactic. Journal of Educational and Behavioral Statistics, 45(3), 339-368.
Wang, C., and Weiss, D.J. (2018). Multivariate Hypothesis Testing Methods for Evaluating Significant Individual Change. Applied Psychological Measurement, 42(3): 221-239.
Wang, C., & Zhang, X. (2019). A Note on the Conversion of Item Parameters Standard Errors. Multivariate Behavioral Research, 54, 307-321.
Wang, C., Chen, P., & Huebner, A. (2021). Stopping rules for multi-category computerized classification testing. British Journal of Mathematical and Statistical Psychology, 74(2), 184-202.
Wang, C., Chen, P., & Jiang, S. (2020). Item Calibration Methods with Multiple Sub-Scale Multistage Testing. Journal of Educational Measurement,, 57(1), 3-28.
Wang, C., Xu, G., & Zhang, X. (2019). Correction for Item Response Theory Latent Trait Measurement Error in Linear Mixed Effects Models. Psychometrika, 84, 673-700.
Wang, C., Xu, G., Shang, Z., and Kuncel, N. (2018). Detecting Aberrant Behavior and Item Preknowledge: A Comparison of Mixture Modeling Method and Residual Method. Journal of Educational and Behavioral Statistics.
Xu, G., Chiou, S.H., Huang, C.Y., Wang, M.C., and Yan, J. (2017). Joint Scale-Change Models for Recurrent Events and Failure Time. Journal of the American Statistical Association, 112(518), 794-805.
Xu, G., and Shang, Z. (2017). Identifying Latent Structures in Restricted Latent Class Models. Journal of the American Statistical Association
Zhang, X., Tao, J., Wang, C., & Shi, N-Z. (2019). Bayesian Model Selection Methods for Multilevel IRT Models: A Comparison of Five DIC-Based Indices. Journal of Educational Measurement, 56(1) p3-27
Zhang, X., & Wang, C. (2021). Measurement bias and error correction in a two-stage estimation for multilevel IRT models. British Journal of Mathematical and Statistical Psychology, 74, 247-274.
Zhang, X., Wang, C., and Tao, J. (2018). Assessing Item-Level Fit for Higher Order Item Response Theory Models. Applied Psychological Measurement.
Zhang, X., Wang, C., Weiss, D. J., & Tao, J. (2021). Bayesian inference for IRT models with non-normal latent trait distributions. Multivariate Behavioral Research, 56(5), 703-723.
Working paper
Gu, Y., and Xu, G. (2018). Partial Identifiability of Restricted Latent Class Models. arXiv preprint arXiv:1803.04353.
Additional project information
Previous award details:
Supplemental information
Co-Principal Investigator: Xu, Gongjun
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