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Welcome! I am an assistant professor of Quantitative Methodology at the University of Georgia. A few things about me are as follows.
Research Interests
My research interests center on the optimal design of experimental studies, statistical power, multilevel moderation/mediation modeling, structural equation modeling, latent variable modeling, and their application in education, psychology, and health. I am also interested in sensitivity analysis, artificial intelligence, machine learning, computational and optimization methods, causal inference, categorical data analysis, quantitative policy research, prevention science, education equity, and school psychology issues.
Representative Publications
Shen, Z., Leite, W., Zhang, H., Quan, J., & Kuang, H. (2024). Using ant colony optimization to identify optimal sample allocations in cluster-randomized trials. The Journal of Experimental Education. https://doi.org/10.1080/00220973.2024.2306392
Shen, Z., Curran, C., You, Y., Splett, J., & Zhang, H. (2023). Intraclass correlations for evaluating the effects of teacher empowerment programs on student educational outcomes. Educational Evaluation and Policy Analysis, 45(1), 134-156. https://doi.org/10.3102/01623737221111400
Shen, Z., & Kelcey, B. (2022b). Optimal sample allocation for three-level multisite cluster-randomized trials. Journal of Research on Educational Effectiveness, 15(1), 130-150. https://doi.org/10.1080/19345747.2021.1953200
Shen, Z., & Kelcey, B. (2022a). Optimal sample allocation in multisite randomized trials. The Journal of Experimental Education, 90(3), 693-711. https://doi.org/10.1080/00220973.2020.1830361
Shen, Z., & Kelcey, B. (2020). Optimal sample allocation under unequal costs in cluster-randomized trials. Journal of Educational and Behavioral Statistics, 45(4), 446–474. https://doi.org/10.3102/1076998620912418
What Is New?
I am happy to share that our paper on surveying a new optimization method for optimal design has been accepted for publication.
Shen, Z., Leite, W., Zhang, H., Quan, J., & Kuang, H. (2024). Using ant colony optimization to identify optimal sample allocations in cluster-randomized trials. The Journal of Experimental Education. https://doi.org/10.1080/00220973.2024.2306392
Contact Information:
zuchao.shen[at]gmail.com or zuchao.shen[at]uga.edu