Name data set s used e. Shavelson prior to submitting a dissertation grant proposal. What is already known on the issue? Applicants who started a draft proposal prior to May 10th, should reenter contact information and upload proposal prior to submitting. Data Set Eligibility The dissertation research project must include the analysis of large-scale data. Funding Restrictions Dissertation Grantees may not accept concurrent grant or fellowship awards from another agency, foundation, institution or the like for the same dissertation project that is funded by the AERA Grants Program.
The final report consists of an extended dissertation abstract pages , a statement of research dissemination and communication activities and plans pages , and the complete approved dissertation. Prior to receiving funding, students must provide documentation that they have permission to use the data for the research project. Applicant Eligibility Dissertation Grants are available for advanced doctoral students and are intended to support the student while analyzing data and writing the doctoral dissertation. The Grants Program is open to field-initiated research and welcomes proposals that: Awardees may accept Research Assistant or Teaching Assistant appointments at their doctoral institutions and may have additional employment.
Applicant Eligibility Dissertation Grants are available for advanced doctoral students and are intended to support the student while analyzing data and writing the doctoral dissertation.
Is the applicant qualified to carry out the proposed study? 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.
This federal investment has produced state-level data from pre-K to grade 12, through higher education, and into the workforce. In addition, statewide longitudinal administrative data systems SLDS enhanced through federal grants are also eligible for consideration.
Each spring AERA holds its Annual Meeting which brings together over 15, researchers, scholars, and policy leaders to present their research, share knowledge, and build research capacity through over disseryation, substantive sessions. Also, they will have the opportunity to network and interact with the Grants Program Governing Board, senior scholars and fellowsihp, other graduate students who use large-scale datasets in their research, and representatives from key federal agencies such as the National Center for Educational Statistics, the National Science Foundation, and the U.
PhD candidate Jessica Alzen awarded inaugural AERA-MET Dissertation Fellowship
Applicants should explicitly address the curricular content when it applies. If the applicant is from a discipline other than education, a fellowahip letter of support from a faculty advisor who has an education research background is also required if the primary faculty advisory does not specialize in education research. Schmidt, and Richard J.
One substantive letter of support is required from the aeera primary faculty dissertation advisor that includes an indication of the ,et current progress toward the degree and expected date of completion, and of the student’s potential for success in his or her anticipated career path.
AERA encourages cost sharing from universities in the form of tuition assistance, office space, university fees, and other expenses. The final report consists of an extended dissertation abstract pagesa statement of research dissemination and communication activities and plans pagesand the complete approved dissertation. Use of public or restricted-data files is permissible.
The thrust of the analysis needs to be generalizable to a national, state, or population or a subgroup within the sample that the dataset represents. Additionally, the review criteria include the following: Contribution to the field Briefly describe the potential contributions this research will make to the field of education words maximum.
As part of the proposal, applicants provide a budget that outlines anticipated research-related expenses. Applicants should be familiar with statistical methods and mmet computer programs that allow for sophisticated analyses of the selected data. The program supports highly competitive dissertation research using rigorous quantitative methods to examine large-scale, education-related data.
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. Many SLDS are available for analysis and can be used to address salient issues in education research or linked with other data sets.
The proposed topic must have education policy relevance, and the models to be tested must include predictor variables that are manipulable e. It emphasizes the advanced statistical analysis of data sets from the U. The inclusion of federal or state administrative information that further expands the analytic capacity of the research is permissible.
AERA Funding Opportunities
Considerations in the Development of the Proposal Applicants are strongly encouraged to read Estimating Causal Effects: Shavelson prior to submitting a dissertation grant proposal. Also, enter the proposal title, amount of funding requested, and the start and end dates of the project.
The letter s must be sent separately, by the faculty member. If the applicant dissertaion 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.
During this dissertatipn conference grantees will participate in seminar-type sessions on substantive, methodological, and professional issues.
The Grants Program encourages the use of major data sets from multiple and diverse sources. Studies that examine issues of specific racial and ethnic groups, social classes, genders, or persons with disabilities are encouraged.
Studies that model achievement test data should clearly define the achievement construct and identify the kinds of items to be used to operationalize the topic of interest.
Although this second letter should focus mainly on the applicant’s qualifications, ket experience, and potential, it should also include a brief paragraph on the advisor’s own education research experience.
Does the applicant know the data set?