Biography
Professor Chang's research has focused primarily on improving large scale assessments, specifically on issues emerged from the K-12 accountability testing. His research interests are broad, encompassing both theoretical development and applied methodologies, including Computerized Adaptive Testing, Differential Item Functioning, Cognitive Diagnosis, and asymptotic properties in IRT. Many of his manuscripts were published in top-tier journals, ranging from very theoretical, such as Annals of Statistics, to very applied, such as Journal of Educational Measurement. He is a past President of the Psychometric Society (2012-2013), a Fellow of American Educational Research Association, and a Fellow of American Statistical Association.
Research Interests
Professor Chang's research has focused primarily on improving large scale assessments, specifically on issues emerged from the K-12 accountability testing. His research interests are broad, encompassing both theoretical development and applied methodologies, including Computerized Adaptive Testing, Differential Item Functioning, Cognitive Diagnosis, and asymptotic properties in IRT.
Additional Campus Affiliations
Professor Emeritus, Educational Psychology
Professor Emeritus, Center for East Asian and Pacific Studies
Recent Publications
Arthur, D., & Chang, H. H. (Accepted/In press). DINA-BAG: A Bagging Algorithm for DINA Model Parameter Estimation in Small Samples. Journal of Educational and Behavioral Statistics. https://doi.org/10.3102/10769986231188442
Du, Y., Zhang, S., & Chang, H. H. (2023). Compromised item detection: A Bayesian change-point perspective: A Bayesian change-point perspective. British Journal of Mathematical and Statistical Psychology, 76(1), 131-153. https://doi.org/10.1111/bmsp.12286
Li, X., Xu, H., Zhang, J., & Chang, H. H. (2023). Deep Reinforcement Learning for Adaptive Learning Systems. Journal of Educational and Behavioral Statistics, 48(2), 220-243. https://doi.org/10.3102/10769986221129847
Wu, X., Zhang, Y., Wu, R., & Chang, H. H. (2022). A comparative study on cognitive diagnostic assessment of mathematical key competencies and learning trajectories: ——PISA Data Analysis Based on 19, 454 Students from 8 Countries. Current Psychology, 41(11), 7854-7866. https://doi.org/10.1007/s12144-020-01230-0
Wu, T., Guo, S., & Chang, H. H. (2022). Modeling Student’s Response Time in an Attribute Balanced Cognitive Diagnostic Adaptive Testing. In M. Wiberg, D. Molenaar, J. González, J.-S. Kim, & H. Hwang (Eds.), Quantitative Psychology - The 86th Annual Meeting of the Psychometric Society, 2021 (pp. 299-312). (Springer Proceedings in Mathematics and Statistics; Vol. 393). Springer. https://doi.org/10.1007/978-3-031-04572-1_23