Profile
John Willett is interested in all things quantitative, particularly statistical methods for analyzing the timing and occurrence of events; methods for modeling change, learning, and development; and longitudinal research design. A new 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.
Willett was born and raised in northern England. He was educated at Oxford University, where he studied physics (specializing in quantum mechanics) in the 1960s. In the 1970s, he and his wife and daughter lived in Hong Kong, where he taught high-school physics and mathematics for almost a decade. During this time, he traveled widely before settling in the United States in 1980. At one time or another, in addition to being a teacher and a professor, he has been a professional musician and a television journalist. He is now a U.S. citizen and a grandfather.
Degrees
- Ph.D., Stanford University