Harvard Graduate School of Education
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Professor John B. Willett

John B. Willett is Charles William Elliot Professor at the Harvard University Graduate School of Education.

He holds a doctorate in quantitative methods from Stanford University and a pair of masters’ degrees in statistics and psychometrics from Stanford University and Hong Kong University, respectively.  His undergraduate work was in physics, at Oxford University, and he is a certified high-school science teacher (he taught high-school physics and mathematics in England and Hong Kong for almost a decade, before returning to graduate school to embark on his doctorate).

He is the recipient of several awards, including: the Lawrence Klein Award for an outstanding contribution to the Monthly Labor Review, and the Research Review Award, the Raymond B. Cattell Early Career Award For Programmatic Research, and the Palmer O. Johnson Memorial Award, the latter three all presented to him at various times by the American Educational Research Association. He is a member of the National Academy of Education.

Professor Willett teaches applied courses in introductory, intermediate and advanced statistics and specializes in quantitative methods for measuring change over time and for analyzing the occurrence, timing and duration of events.  He is an expert in covariance structure analysis and research design.

His most recent book, authored in collaboration with long-time friend and colleague Judy Singer, is entitled Applied Longitudinal Data Analysis:  Modeling Change and Event Occurrence.  It was published by Oxford University Press in March 2003.

In 1999, he became a grandfather for the first time. In 2001, he finally severed his British roots and took the oath of US citizenship. He remains an ardent fan of Bob Dylan, Leonard Cohen, and fish n'chips.

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Contact me: John_Willett@Harvard.Edu

Page last updated: May 31, 2005


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