Stephen Raudenbush

The purpose of this grant is to produce a general statistical framework and an associated set of statistical guidelines and tools for studying such impact variability. The project will address three major design issues: 1) A treatment effect may be moderated by covariates that are measured with error; 2) The covariates and outcome, whether continuous or discrete, may be only partially observed; and 3) Compliance to treatment assignment may be imperfect. The project will also extend these iss...

The University of Chicago training program will prepare doctoral students to conduct research to improve instruction in urban schools and reduce educational inequality.

In this project, the research team will assess whether the "double-dose algebra" policy implemented by Chicago Public Schools (CPS) between 2003 and 2004 led to increases in college attainment and degree completion for students assigned to extra math instruction as a result of the policy. This project builds on three previous IES-funded projects, all of which found positive effects associated with the double dose policy. An initial Efficacy and Replication project found that 9th-grade algebr...

Through this 2014 grant, the University of Chicago predoctoral training program provided doctoral students from social science disciplines with advanced training in state-of-the-art quantitative methods and experience conducting research on the contributions of schooling to labor market success of youth.

This project expanded the work completed in a previous IES grant (Development of Accessible Methodologies and Software in Hierarchical Models with Missing Data) on software to handle missing data in univariate two- and three-level multilevel models.