Dr. Wendy Chan is an Assistant Professor of Education in the Human Development and Quantitative Methods Division at Penn GSE. She received her Ph.D. in statistics from Northwestern University, where she was a graduate research assistant for the Institute for Policy Research. She began her career in education as a member of Teach for America, where she taught sixth- and eighth-grade mathematics in a large middle school in New York City. Her work has appeared in Evaluation Review and Communications for Statistical Applications and Methods.
University of Pennsylvania
Research Interests and Current Projects
Dr. Chan specializes in applied educational statistics, and her research projects and interests are at the leading edge of work on statistics methods in field contexts, including scaling up interventions. Her dissertation, Extensions to the Generalizability of Experiments in the Social Sciences, was about the intellectual and statistical challenges of generalizing the results of localized randomized trials to larger populations. Specifically, it focused on applications of partial identification and small area estimation methods to estimation of population average treatment effects in the absence of equal probability sampling. With partial identification, her work examines the role of alternative assumptions to strong ignorability of sample selection in making inferences on population parameters. With small area estimation, Dr. Chan’s work considers use of small area models in improving the precision of estimators when there is limited sample size. Aside from her work on generalization, Dr. Chan’s research has ventured into power analyses and analyzed the extent to which analogies in design parameters can be made.
She is currently working on two projects. The first considers the role of stratification on improving the precision of bounds for generalization. The second looks at compositional differences in populations of inference and the implications for generalizations over time.
Ph.D. (Statistics) Northwestern University, 2016
M.A. (Mathematics Education) Lehman College, City University of New York, 2010
B.A. (Economics and Mathematics) Barnard College, Columbia University, 2008
Areas of Expertise
Statistical methods to improve generalizations in education
Partial identification methods with applications to the social sciences
Multilevel modeling and experimental design
Propensity score methods for generalization
Small area estimation