Workshop Leaders

Workshop Leaders

Thomas D. Cook (IPR/Northwestern University) is professor of sociology, psychology, education and social policy. He is the Joan and Sarepta Harrison Chair in Ethics and Justice and an Institute for Policy Research fellow at Northwestern University. He is best known for his work on the theory and practice of the design and analysis of various forms of quasi-experiment, including regression-discontinuity, interrupted time series, and other non-equivalent comparison group designs. He has authored or co-authored ten books and about one hundred articles on these topics, including Cook and Campbell, Quasi-Experimentation: Design and Analysis Issues for Field Settings (1979), and Shadish, Cook, and Campbell, Experimental and Quasi-Experimental Designs for Generalized Causal Inference (2002). His current work is on testing hypotheses about the kinds of quasi-experimental practice that often lead to causal results that are similar to those that a randomized experiment achieves. It is from this literature done with all of the other instructors, as well as from statistical theory, that grow the ideas identifying the better quasi-experimental practices worth pursuing in research in education.

Peter Steiner (University of Wisconsin-Madison) is assistant professor of educational psychology. His research program focuses on methodological questions about the causal inference with experimental and quasi-experimental designs, including PS-matching designs, regression-discontinuity designs, and interrupted-time-series designs.

Stephen West (Arizona State University) is professor of psychology. He is past editor of the Journal of Personality, Psychological Methods, and Multivariate Behavioral Research. He has held regular or visiting faculty positions at the University of Wisconsin–Madison, Florida State University, University of Texas at Austin, Duke University, and UCLA in the United States, and Universität Kiel, Universität Heidelberg, and Freie Universität Berlin in Germany. He received the ASU Graduate School’s outstanding graduate mentor award and the Jacob Cohen award for outstanding teaching and mentoring from the American Psychological Association (APA). He has received the Henry Murray award for lifetime contributions to the study of lives and the Samuel Messick Distinguished Scientific Contributions Award for scientific contributions within the field of quantitative research methods from the APA, the Saul Sells award for distinguished multivariate research from the Society for Multivariate Experimental Psychology, and the Alexander von Humboldt Stiftung Forschungspreis for lifetime contributions to research methods. His methodological work is in causal inference, experimental and quasi-experimental research designs, longitudinal data analysis, multiple regression, and structural equation modeling. His substantive research is in the areas of personality and in prevention-related issues in health, mental health, and education. He is co-author of 13 books and edited volumes including Multiple Regression:  Testing and Interpreting Interactions (1991) and Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences (2003). 

Coady Wing (University of Indiana, Bloomington) is assistant professor in the School of Public Policy, where he does research and teaches on econometric methods, particularly as they pertain to health policy issues. He is interested in regression-discontinuity designs that include a comparison regression function without treatment and in the ways that instrumental variables can be used in education, both when random assignment or regression discontinuity provides the instrument and also in the usually more problematic situations where some other variable does.

Vivian Wong (University of Virginia) is assistant professor of research, statistics, and evaluation in the Curry School of Education at the University of Virginia. Her interests are in research designs for causal inference, regression-discontinuity evaluations, and the design of within-study comparisons.