Publications

Preprints

  • Huang, M. (2025+). Bayesian treed regressions for estimating heterogeneous trajectories of test scores in large-scale education assessments. [preprint]

Peer-reviewed Journal Articles

  • Huang, M., & Kaplan D. (2024). Predictive Performance of Bayesian Stacking in Multilevel Education Data. Journal of Educational and Behavioral Statistics. [paper] [preprint] [code]

  • Garbacz, S. A., Stormshak, E. A., McIntyre, L. L., Bolt, D., & Huang, M. (2024). Family-Centered Prevention During Elementary School to Reduce Growth in Emotional and Behavior Problems. Journal of Emotional and Behavioral Disorders, 10634266221143720. [paper]

  • Xia, Y., Luo, Y., Huang, M., & Yang, Y. (2022). On the use of inclusive strategy when some participants fail to provide data on all studied variables. International Journal of Quantitative Research in Education, 5(4), 356-378. [paper]

  • Kaplan, D., & Huang, M. (2021). Bayesian probabilistic forecasting with large-scale educational trend data: a case study using NAEP. Large-scale Assessments in Education, 9(1), 1-31. [paper]

Book Chapters

  • Huang, M., & Anderson, C. (2021). A Bayesian solution to non-convergence of crossed random effects models. Quantitative Psychology, (pp. 297-307). Springer International Publishing. [paper]