Department of Health and Human Development
Dr. Xu Qin is an assistant professor in Research Methodology at the Department of Health and Human Development. She holds a Ph.D. from the Department of Comparative Human Development at the University of Chicago and a B.S. and an M.S. in Statistics from the Renmin University of China.
Her research focuses on solving cutting-edge methodological problems in causal mediation analysis and multilevel modeling and employing innovative methods to conduct educational program evaluations. She has developed innovative methods for investigating causal mediation mechanisms in multisite evaluations with a focus on quantifying between-site heterogeneity in the mechanisms. She is currently developing methods for conducting sensitivity analysis for causal mediation analysis.
- Statistics I
- Applied Regression Analysis
- Hierarchical Linear Modeling
- Causal mediation analysis method development for multisite trials
- Sensitivity analysis method development for causal mediation analysis
- Educational program evaluation
- Principal Investigator, “Statistical Power Analysis for Causal Mediation Studies in Single-Site and Multi-Site Randomized Trials,” Spencer Foundation, $50,000, 2021-2022.
- Co-Principal Investigator, “Causal Moderation and Mediation Analyses in Single-Site and Multisite Randomized Trials with Noncompliance,” the Institute of Education Sciences (IES) Statistical and Research Methodology in Education Grants. $899,920, 2020-2023. (Principal Investigator: Guanglei Hong, University of Chicago)
- Co-Principal Investigator. “Student Engagement in Mathematics: A Longitudinal Study of Classroom and Psychosocial Processes,” National Science Foundation, $1,500,000, 2019-2022. (Principal Investigator: Ming-Te Wang, University of Pittsburgh)
- Principal Investigator, “Sensitivity Analysis for Causal Mediation Analysis in the Presence of Unmeasured Pretreatment or Posttreatment Confounding,” Spencer Foundation, $49,898, 2019-2020.
- Qin, X. & Yang, F. (in press). Simulation-Based Sensitivity Analysis for Causal Mediation Studies. Psychological Methods.
- Qin, X., Wormington, S., Guzman-Alvarez, A., & Wang, M.-T. (in press). Why does a growth mindset intervention impact achievement differently across secondary schools? Unpacking the mediation mechanism from a national multisite randomized experiment. The Journal of Research on Educational Effectiveness.
- Qin, X., Deutsch, J, & Hong, G. (2021). Unpacking Complex Mediation Mechanisms and Their Heterogeneity between Sites in A Job Corps Evaluation. The Journal of Policy Analysis and Management, 40(1), 158-190.
- Qin, X., Hong, G., Deutsch, J, & Bein, E. (2019). Multisite causal mediation analysis in the presence of complex sample and survey designs and non-random nonresponse. The Journal of the Royal Statistical Society, Series A (Statistics in Society), 182(4), 1343-1370.
- Qin, X., & Hong, G. (2017). A weighting method for assessing between-site heterogeneity in causal mediation mechanism. Journal of Educational and Behavioral Statistics, 42(3), 308-340.
Awards and Honors
- National Academy of Education/Spencer Postdoctoral Fellowship Semifinalist (2021)
- Outstanding Dissertation Award, American Educational Research Association, Division D (2019)
- William E. Henry prize for the best PhD dissertation, Department of Comparative Human Development, University of Chicago (2019)
- National Study of Learning Mindsets Early Career Fellowship, Bezos Family Foundation (2018)
- National Academy of Education/Spencer Dissertation Fellowship, Spencer Foundation (2017)
- Joint Statistical Meetings Student Paper Award, American Statistical Association (2016)
Engagement, Partnerships, and Professional Service
- Editorial Board, Journal of Research on Educational Effectiveness
- Member, American Statistical Association
- Member, American Educational Research Association
- Member, Society for Research on Educational Effectiveness
- Member, Society for Caudal Inference