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John Willett was born in 1947 in Leeds and raised from the age of 10 in Harrogate, in the North of England. He studied physics at Oxford University from 1967 through 1970. He taught high-school physics and mathematics at the Island School, Hong Kong, from 1972 through 1980. He eventually settled in the USA in 1980, where he obtained a doctorate in quantitative methods at Stanford University.

Since 1985, he has been a faculty member at the Harvard University Graduate School of Education, where he is currently the Charles William Eliot Professor of Education. He is an expert in statistical methods for the analysis of longitudinal data, and teaches courses in quantitative methods.

His most recent book was co-authored with his colleague Judy Singer, and is entitled Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence. It was published in 2003 by Oxford University Press and covers topics in individual growth modeling and survival analysis. Willett and Singer are currently working on a companion volume on multilevel modeling.

In addition, Willett is writing -- with his collaborator, Richard J. Murnane -- a volume that presents and explains new methods for making causal inferences in social and educational research. The new book is framed by a series of important substantive research questions in education and uses real examples to introduce material on the design of true experiments, the detection and utilization of natural experiments, instrumental variables estimation, and methods for selection bias correction.

This author page uses material from the Wikipedia article "John B. Willett", which is released under the Creative Commons Attribution-Share-Alike License 3.0