![]() A procedure for diagnostically modeling extant large-scale assessment data: The case of the Programme for International Student Assessment in Reading. Estimation of the latent mediated effect with ordinal data using the limited-information and Bayesian full-information approaches. Educational Psychology: An International Journal of Experimental Educational Psychology, 36, 1049-1064. Exploring reading comprehension skill relationships through the G-DINA model. Language Assessment Quarterly, 13, 218-230. ![]() Retrofitting non-cognitive-diagnostic reading assessment under the generalized DINA model framework. The Journal of Educational Research, 110, 159-170. Strategic development of multiplication problem solving: Patterns of students’ strategy choices. Introducing a flexible approach to test validity based on context-specific construct. Applied Psychological Measurement, 41, 3-16. Advancing the Bayesian approach for multidimensional polytomous and nominal IRT models: Model formulations and fit measures. Applied Psychological Measurement, 41(4), 277–293. A residual-based approach to validate Q-matrix specifications. Test designs and modeling under the general nominal diagnosis model framework. Cognitive diagnostic research on Chinese students’ English listening skills and implications on skill training. The Viral Impact of Emotion on Social Transmission under Control Context. Zhang, G., Zhou, X., Chen, J., Gong, Y., Sun, S., Yu, X.Exploring cognitive diagnosis retrofitting and further analyses of language proficiency testing: The case of the Guangzhou English achievement examination. (2018) A hierarchical taxonomy of test validity for more flexibility of validation. Introducing the general polytomous diagnosis modeling framework. Teaching evaluation under the view of modern validity: Reflection and suggestions. Journal of Modern Applied Statistical Methods, 18(1), eP2997. Logistic growth modeling with Markov chain Monte Carlo estimation. Students with specific difficulties in Geometry: Exploring the TIMSS 2011 data with plausible values and latent profile analysis. A partially confirmatory approach to scale development with the Bayesian Lasso. A partially confirmatory approach to the multidimensional item response theory with the Bayesian Lasso. Structural Equation Modeling: A Multidisciplinary Journal, 28(4), 518-528. A Bayesian regularized approach to exploratory factor analysis in one step. A generalized partially confirmatory factor analysis framework with mixed Bayesian Lasso methods. Structural Equation Modeling: A Multidisciplinary Journal. Partially confirmatory approach to factor analysis with Bayesian learning: A LAWBL tutorial. Attribute continuity in cognitive diagnosis models: impact on parameter estimation and its detection, Behaviormetrika. Fully and partially exploratory factor analysis with bi-level Bayesian regularization. Our doctoral program offers a supportive and inclusive learning environment that fosters innovation and collaboration. Be self-motivated, collaborative, and passionate about research for education improvement. Learn state-of-the-art knowledge and gain hands-on experience with cutting-edge technologies. We're seeking new PhD students with experience in large language models to collaborate with world-class researchers and educators. Join our team to advance STEM education with psychometrics and NLP. Quantitative methods, psychometrics, and statistics.One potential application I am investigating is to improve STEM learning with NLP-generated educational contents such as knowledge, solutions, and examples. I am exploring different approaches to combine large language models with psychometrics, which can be applied in various educational and psychological domains. The second area is the integration of psychometrics with NLP. The estimation algorithm presents a significant challenge that I aim to overcome. ![]() ![]() The first area focuses on latent variable modeling and structural equation modeling. I am currently developing a partially confirmatory approach to both frameworks with multiple research directions and potential applications. My research interests center around two main areas.
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