Wednesday, January 13, 2016

American Educational Research Association (AERA) Grants Program: Institute on Statistical Analysis for Education Policy: Using Large-Scale Data to Study Mathematics Education and Outcomes to be held in Washington, DC, May 10-13, 2016.

 
The American Educational Research Association (AERA) Grants Program is accepting applications to attend the Institute on Statistical Analysis for Education Policy: Using Large-Scale Data to Study Mathematics Education and Outcomes to be held in Washington, DC, May 10-13, 2016. The goal of the Institute is to build the capacity of the U.S. education research community to use large-scale national and international data sets such as those from the National Center for Education Statistics (NCES), National Science Foundation (NSF), and other federal agencies for basic, policy, and applied research. Publicly available national data sets such as, but not limited to, ECLS-KELS:2002, and HSLS:09, can be used to examine issues in mathematics education and outcomes. Participants bring their choice of a relevant federal data set to the training. AERA Grants Governing Board members, agency staff, and outside experts jointly provide hands-on training in the application of large-scale data sets to examine mathematics education and related issues.
 
Advanced doctoral students and recent doctorates are especially encouraged to apply. Applicants should be familiar with commonly used statistical methods (e.g., regression) and either SPSS or Stata. Applicants also should be familiar with a large-scale data set(s) that is appropriate to the study of mathematics education. Please see the Call for Applications for further information; the application deadline is Monday, January 25, 2016.
 
Direct any questions about the AERA Grants Program and the Institute to grantsprogram@aera.net or 202.238.3200.
 
Best regards,

George L. Wimberly
Co-Principal Investigator, AERA-Grants Program
American Educational Research Association
1430 K Street NW
Suite 1200
Washington, DC 20005

 

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