AERA Institute on Statistical Analysis for Education Policy:
Causal Analysis Using International Data
Call for Applications
Dates of Institute: May 19 - 22, 2015
The application deadline for the 2015 AERA Institute on Statistical Analysis for Education Policy: Causal Analysis Using International Data is Tuesday, February 17, 2015. AERA is no longer accepting applications.
With support from the National Science Foundation (NSF), the American Educational Research Association (AERA) Grants Program announces a special AERA Institute on Statistical Analysis for Education Policy focused on causal analysis using data from two international datasets, Trends in International Mathematics and Science Study (TIMSS) and Programme for International Student Assessment (PISA). The Institute’s goal 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), NSF, and other federal agencies for basic, policy, and applied research. The 2015 Institute will be conducted jointly with an international of group scholars who are using these data sets.
Causal inference has become a central issue in education research. This includes inferring causality from the design of true randomized experiments, as well as how such inference can be approached in quasi-experimental, non-randomized studies. The focus of the 2015 Institute will be on these issues and the methodologies available to support causal inferences using data from TIMSS and PISA. The Institute will cover several approaches and methodologies for estimating causal inferences using TIMSS and PISA. Such methodologies include propensity scores, path analysis, and structural equation models. During the Institute examples will be provided in addition to working sessions in which participants will gain experience with implementing selected methods with the international data.
Eligibility and Review Criteria
Advanced doctoral students and recent doctorates are especially encouraged to apply. Applicants must have completed at least one year of statistics courses at the doctoral level and have familiarity with multiple regression methods. Review criteria include: the applicant’s statistical background to at least the intermediate level of multiple regression, computer literacy with knowledge of at least one statistical software package; experience in using a large-scale data set; substantive policy or practice interest in international data; and the Institute’s fit with the applicant’s career goals. Applications from historically underrepresented minority scholars are also strongly encouraged. Applicants may be U.S. citizens, U.S. permanent residents, or non-U.S. citizens working or studying at a U.S. institution.
A select group of scholars will be chosen to participate in the Institute. Those selected for participation will receive support covering the Institute's fees, transportation, housing, and meals for the dates of the Institute. Participants must bring their own computer loaded with the statistical software of their choice.
Dates and Location
All applications should include:
Background Information, entered via the online submission tool, including contact information for three (3) references familiar with the applicant’s work. No letters of recommendation are required for this application, although references may be contacted during the review process.
Statement of Interest in PDF (maximum two pages single-spaced), describing the applicant's background, career goals, and how the applicant would benefit from the Institute.
Summarized Curriculum Vita in PDF (maximum one page), listing education, research, and employment history, relevant graduate courses, and publications that are relevant to the Institute.
The deadline for applications is 11:59 pm Pacific Time on Tuesday, February 17, 2015. Applications must be submitted electronically to AERA via the online submission tool. Incomplete submissions will not be considered. Applicants will be informed of decisions in March 2015. If you have any questions, please contact the AERA Grants Program at email@example.com or 202-238-3226.
SELECT HERE TO APPLY FOR THE AERA INSTITUTE ON STATISTICAL ANALYSIS FOR EDUCATION POLICY: CAUSAL INFERENCE USING INTERNATIONAL DATA