John B. Willett

John B. Willett
Professor Emeritus, Graduate School of Education,
Harvard University

John B. Willett is Professor of Education, Emeritus at the Harvard Graduate School of Education, where he also served as the academic dean and then acting dean. Dr. Willett is an expert in statistical methods for analyzing the timing and occurrence of events; methods for modeling change, learning, and development; longitudinal research design; and methods for making causal inferences from quantitative data. The influential book by Willett and his colleague Judy Singer, titled Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence, is an integrated presentation of statistical methods for the analysis of longitudinal data. His most recent book, with his colleague Richard J. Murnane, titled Methods Matter: Improving Causal Inference in Educational and Social Science Research, seeks to bring innovative methods for making causal inferences into greater prominence in social research. He holds a Ph.D. in applied statistics from Stanford University.


Publications by John B. Willett
In a new PACE policy brief, Jennifer Steele, Richard J. Murnane and John B. Willett assess the impact of California’s Governor’s Teaching Fellowship. During a two-year period from 2000-2002, California awarded a $20,000 Governor’s Teaching…