The program supports highly competitive dissertation research using rigorous quantitative methods to examine large-scale, education-related data. If the applicant is employed by a contractor of NCES, NSF, other federal agency, state agency, or other entity that provides the dataset proposed for the project, the dissertation research must not be considered part of the applicant's work responsibilities.
Data Sharing All data or data-related products produced under the AERA Grants Program must be shared and made available consonant with ethical standards for the conduct of research. Graduate Program Fellowships, Scholarships, and Financial Assistance We strive to ensure that all students who are admitted to our graduate program are fully supported.
Reporting Requirements Dissertation Grantees will be required to submit a brief pages progress report midway through the grant period. The Grants Program encourages proposals across the life span and contexts of education and learning of relevance to STEM policy and practice.
The data set can originate from one or multiple sources, including 1 federal data bases, 2 federally supported national studies, 3 international data sets supported by federal funds, or 4 statewide longitudinal administrative data systems SLDS enhanced through federal grants.
Costs for equipment necessary for the conduct of the project that will be devoted to the project over the duration of the award.
Data Set Access The data set s of interest must be available for analysis at the time of application. Shavelson prior to submitting a dissertation grant proposal. An additional letter from the applicant's employer is required as part of the application submission, stating that the dissertation project is separate from the applicant's job duties.
Applicants are encouraged to capitalize on the capacity of large-scale data sets to examine diverse populations, including racial, ethnic, social class, and gender groups.
Cosponsored by the School of Engineering and Applied Science.