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sean f. reardon (Professor)

sean f. reardon (650) 736-8517
sean.reardon
I'm-not-a-bot
@stanford
Personal bio
Sean F. Reardon is associate professor of education and (by courtesy) sociology at Stanford University, specializing in research on the effects of educational policy on educational and social inequality, on the causes, patterns, trends, and consequences of social and educational inequality, and in applied statistical methods for educational research. His primary research examines the relative contribution of family, school, and neighborhood environments to racial/ethnic and socioeconomic achievement disparities. In addition, he develops methods of measuring social and educational inequality (including the measurement of segregation and achievement gaps) and methods of causal inference in educational and social science research. He teaches graduate courses in applied statistical methods, with a particular emphasis on the application of experimental and quasi-experimental methods to the investigation of issues of educational policy and practice. Sean received his doctorate in education in 1997 from Harvard University. He has been a recipient of a William T. Grant Foundation Scholar Award, a Carnegie Scholar Award, and a National Academy of Education Postdoctoral Fellowship.

Currently teaching
EDUC 107: Education and Inequality: Big Data for Large-Scale Problems (Autumn)
EDUC 207: Education and Inequality: Big Data for Large-Scale Problems (Autumn)
EDUC 339: Advanced Topics in Quantitative Policy Analysis (Autumn)
EDUC 430C: Applied Quasi-Experimental Research in Education (Spring)
SOC 107E: Education and Inequality: Big Data for Large-Scale Problems (Autumn)
SOC 205: Education and Inequality: Big Data for Large-Scale Problems (Autumn)
SOC 258: Applied Quasi-Experimental Research in Education (Spring)
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