Publications

Journal Articles (Google Scholar) 

1. Shen, Z., Curran, C., Fleming, K., Splett, J., Poekert, P., & Bratsch-Hines, M. (in press). Science outcomes design parameters for cluster-randomized trials involving teachers. Journal of Research on Educational Effectiveness.

2. Shen, Z., Li, W., & Leite, W. (2024). Statistical power and optimal design for randomized controlled trials investigating mediation effects. Psychological Methods. https://doi.org/10.1037/met0000698

3. Griffith, R., Fite, P., Shen, Z. (2024). Hostile attribution bias and working memory in the link between trauma exposure and violence in justice-involved youth. Youth Violence and Juvenile Justice. https://doi.org/10.1177/15412040241271239

4. Zhang, H., Shen, Z., & Leite, W. (2024). The impacts of small teacher-level sample sizes in experimental studies. The Journal of Experimental Education. https://doi.org/10.1080/00220973.2024.2376627

5. 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

6. Fabes, W., O’Rourke, H., Catherine, E., Shen, Z., McDonald, A. (2023). Out-of-school suspensions in U.S. public schools: Relations with chronic teacher absenteeism. Frontiers In Developmental Psychology. 1:1199570. https://doi.org/10.3389/fdpys.2023.1199570

7. 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

8. Splett, J., Brann, K., Trainor, K., & Shen, Z. (2023). Examining utility and impact of social, emotional, and behavioral screening results to identify and address risk. School Psychology, 38(3), 137–147. https://doi.org/10.1037/spq0000540

9. Fisk, C., Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K. (2023). Using simulated annealing to investigate sensitivity of SEM to external model misspecification. Educational and Psychological Measurement, 83(1), 73-92. https://doi.org/10.1177/00131644211073121

10. 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

11. 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

12. Shen, Z., & Leite, W. (2022). SEMsens: An R package for sensitivity analysis of structural equation models with the ant colony optimization algorithm. Applied Psychological Measurement, 46(2), 159-161. https://doi.org/10.1177%2F01466216211063233

13. Leite, W., Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022). Using ant colony optimization for sensitivity analysis in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 29(1), 47-56. https://doi.org/10.1080/10705511.2021.1881786

14. Monachino, C., Splett, J. W., Shen, Z., Cornett, S., Halliday, C., & Weist, M. D. (2021). Patterns and pathways of peer victimization across the transition to middle school. School Psychology Review, 50(2-3), 420-440. https://doi.org/10.1080/2372966X.2021.1904792

15. 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

16. Kelcey, B., & Shen, Z. (2020). Strategies for efficient experimental design in studies probing 2-1-1 mediation. The Journal of Experimental Education, 88(2), 311–334. https://doi.org/10.1080/00220973.2018.1533796

17. Kelcey, B., Dong, N., Spybrook, J., & Shen, Z. (2017). Experimental power for indirect effects in group-randomized studies with group-level mediators. Multivariate Behavioral Research, 52(6), 699–719. https://doi.org/10.1080/00273171.2017.1356212

18. Kelcey, B., & Shen, Z. (2017a). Experimental evaluations of school-based HIV programs in Sub-Saharan Africa. Studies in Educational Evaluation, 55, 27–34. https://doi.org/10.1016/j.stueduc.2017.04.004 

19. Kelcey, B., & Shen, Z. (2017b). Planning community-based assessments of HIV education programs in Sub-Saharan Africa. Health Education Research, 32(4), 353–363. https://doi.org/10.1093/her/cyx046

20. Kelcey, B., Shen, Z. & Spybrook, J. (2016). Intraclass correlation coefficients for designing cluster randomized trials in Sub-Saharan Africa education. Evaluation Review, 40(6), 500–525. https://doi.org/10.1177/0193841X16660246

21. Kelcey, B., & Shen, Z. (2016). Multilevel design of school effectiveness studies in Sub-Saharan Africa. School Effectiveness and School Improvement, 27(4), 492–510. https://doi.org/10.1080/09243453.2016.1168855

22. Shen, Z., Simon, C., & Kelcey, B. (2016). The potential consequence of using value-added models to evaluate teachers. eJournal of Education Policy, 2, 1–12. https://in.nau.edu/ejournal/fall-2016/

23. Shen, Z., & Yan, F. (2006). The impact of social stratification on educational stratification: Empirical analysis of social and economic statuses of students at the private higher education institutions in Xi’an city. Peking University Education Review, 2, 72–84. (In Chinese)

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Book Chapters

1. Leite, W., Bandalos, D., & Shen, Z. (2023). Simulation methods in structural equation modeling. In R. H. Hoyle (Eds.), Handbook of structural equation modeling (2nd ed., pp. 110-127). New York: Guilford Publications.

2. Shen, Z., & Yan, F. (2009). Analysis on social stratification and opportunity to attend private higher institute. In W. Min (Eds.), Educational input, resource allocation and returns to human capital: Studies on the issues of Chinese education and human resources (pp. 231–244). Beijing, China: Economic Science Press. (In Chinese)

Conference Proceedings

1. Leite, W., Kuang, H.,  Shen, Z., Chakraborty, N., Michailidis, G., DMello, S., & Xing, W. (2022). Heterogeneity of treatment effects of a video recommendation system for algebra. Proceedings of the Ninth (2022) ACM Conference on Learning @ Scale, 12-23. https://doi.org/10.1145/3491140.3528275