John B. Willett

John Willett is a U.S.-based professor of education, specializing in the teaching, development and application of quantitative methods.

He was born in 1947 in Leeds and raised from the age of 10 in the nearby town of Harrogate, in the county of Yorkshire, in the North of England. He attended Harrogate Grammar School, where he served as Head Boy and Captain of the Rugby Team. Subsequently, he was awarded a Venning Exhibition to study physics at Worcester College, Oxford University from 1967 through 1970. Briefly, after graduating from Oxford, from 1970 through 1971, he became a professional musician, playing bass guitar in a short-lived rock n'roll band -- named "e. Bo Jobb" -- in the North of England.

Willett then taught high-school physics and mathematics at the Island School, Hong Kong, from 1972 through 1978, where he also served as Housemaster of the Da Vinci House. He went on to train in-service teachers of physics in the School of Education at Hong Kong University, from 1978 through 1980. While serving in Hong Kong, he authored a science textbook for students in Hong Kong schools, entitled "A New School Physics for Hong Kong" and hosted the popular TV science-magazine show, "Tomorrow's World," weekly -- each Sunday evening -- on Hong Kong's TVB Pearl, sponsored by the Hong Kong Banking Corporation. He moved to the USA in 1980, with his wife and daughter, to enroll in graduate school at Stanford University. Subsequently, he obtained a master's degree in statistics and a doctorate in quantitative methods, graduating with the latter in 1985.

From 1985, he was a faculty member at the Harvard University Graduate School of Education,[1] eventually rising to the position of full professor, with an endowed chair and the title of Charles William Eliot Professor of Education.[2] He is an expert in the application of statistical methods for the analysis of longitudinal data, and he taught courses in quantitative methods, including courses in Answering Questions with Quantitative Data, Applied Data Analysis, Applied Longitudinal Data Analysis and Causal Inference. He was Academic Dean of the School of Education for two years, and Acting Dean for one year.

With his colleague Judy Singer, he authored the book Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence.[3] It was published in 2003 by Oxford University Press and covered topics in individual growth modeling and survival analysis.

Most recently, Willett -- with his collaborator, Richard J. Murnane -- published a new volume to present and explain new methods for making causal inferences in social and educational research using quantitative data. The book is entitled Methods Matter: Improving Causal Inference in Educational and Social Research and was published in 2011 by Oxford University Press It is dedicated to the proposition that empirical evidence for the success of educational interventions is only credible if it can support causal conclusions. The book is organized around a series of important substantive research questions in education and uses real examples to introduce material on the design of true experiments, on natural experiments and regression-discontinuity strategies, on instrumental variables estimation and on stratification and propensity-score methods for selection bias correction.

Willett retired from his position at Harvard University in 2013 and now lives in Santa Cruz, California, enjoying the sun and spending time with his wife and his grandchildren. He feels privileged that he was granted such a wonderful life.

References

  1. "Education Week: Ideas & Findings". Education Week News. 12 July 1995. Retrieved 14 December 2010. Harvard education professors Richard J Murnane and John B Willett....
  2. Sherman, Natalie I. (17 May 2006). "Acting Dean Cast as GSE Chief". Harvard Crimson. Retrieved 14 December 2010.
  3. "Applied Longitudinal Data Analysis: Modeling Change and Event Occurrence (Book Review)". Journal of the American Statistical Association. American Statistical Association. 100: 352–353. 1 March 2005. doi:10.1198/jasa.2005.s7. Retrieved 13 December 2010.

External links

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