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Highlights

Presentation on multilevel modeling using Stata, July 26th, noon, 6050 ISR

Frey's new report explores how the changing US electorate could shape the next 5 presidential elections, 2016 to 2032

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Next Brown Bag

PSC Brown Bags
will resume fall 2016

University of Michigan Post-doctoral Training Program in Experimental and Quasi-Experimental Methods for Education Research

a PSC Research Training Program [ARCHIVE DISPLAY]

Investigators:   Susan Dynarski, Brian Jacob

We propose to establish a Post-doctoral Training Program in Experimental and Quasi-Experimental Methods for Education Research at the University of Michigan. The program will be based at the Gerald R. Ford School of Public Policy and led by faculty who have joint appointments with the School of Education and Department of Economics. Training will emphasize the efficacy and replication aspects of education research, with particular focus on the use of experimental and quasi-experimental methods that meet IES?s standards for causal inference. The large administrative datasets at the PIs? disposal will also allow for training in the use of data for exploration of hypotheses. The training program will provide research experience in the IES topical areas of: teacher quality; education leadership; education policy, finance and systems; middle and high school reform; education technology; evaluation of state and local education programs and policies; and use of longitudinal data systems.

Funding Period: 03/01/2011 to 02/28/2017

This PSC Archive record is displayed for historical reference.

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