Guanglei Hong

Guanglei Hong, Ph.D.
Associate Professor
Department of Comparative Human Development and the College Committee on Education
The University of Chicago
1126 East 59th St.
Chicago, IL 60637
Phone: 773-702-9481

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Guanglei Hong is Associate Professor with tenure in the Comparative Human Development Department and the Committee on Education at the University of Chicago. She obtained a Master's degree in Statistics in 2002 and a Ph.D. in Education in 2004 from the University of Michigan. She develops and applies causal inference theories and methods for evaluating educational and social policies and programs in multi-level, longitudinal settings. Her work is currently focused on developing concepts and methods for analyzing causal mediation mechanisms in multisite randomized trials. Hong was Principal Investigator of the project “Weighting Methods for Mediation Analysis in Experimental and Quasi-Experimental Multilevel Data” funded by the U.S. Department of Education the Institute of Education Sciences (IES) Statistical and Research Methodology in Education Grants ($850,000, 2012-2015). Currently she is leading a team of researchers in the project “Using Emerging Methods with Existing Data from Multi-site Trials to Learn about and from Variation in Educational Program Effects.” She has received research funding from the Spencer Foundation and the Social Sciences and Humanities Research Council of Canada in the past.

Hong is author of the book “Causality in a social world: Moderation, mediation, and spill-over” published by John Wiley & Sons in July 2015. She wrote in the book, “Without disciplined reasoning, a causal inference would slip into the rut of a ‘casual inference’ as easily as making a typographical error.” The book clarifies for applied researchers the theoretical concepts of moderated effects, mediated effects, and spill-over effects. It systematically introduces innovative statistical strategies for investigating these causal effects and aims to make them readily accessible to a broad audience. A major emphasis is placed on explicating and evaluating, in the context of real applications drawn from social sciences, education, and health research, the assumptions required for relating causal parameters of interest to empirical data given a specific research design. The author’s interview with Statistics Views about the publication of this book can be accessed online:

Hong’s other publications have appeared in statistics, education, and psychology journals including the Journal of the American Statistical Association, the Journal of Educational and Behavioral Statistics, Educational Evaluation and Policy Analysis, the Journal of Research on Educational Effectiveness, Psychological Methods, and Developmental Psychology, among others. She was the Guest Editor for the Journal of Research on Educational Effectiveness special issue on the statistical approaches to studying mediator effects in education research published in 2012. She has been elected to serve on the Editorial Boards of a number of journals. Hong received a 2002 AERA Dissertation Grant, a 2003 Joint Statistical Meetings Student Paper Competition Award, a 2003 Spencer Dissertation Fellowship, a 2005 AERA Division D Outstanding Dissertation Award, a 2006 National Academy of Education/Spencer Postdoctoral Fellowship, and a 2009-2014 William T. Grant Foundation Scholars Award.

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