Biosketch:
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.
