Dissertation Grants

Sponsor: American Educational Research Association
Solicitation Title: Dissertation Grants
Event Type: Early Career
Funding Amount: $25,000
Sponsor Deadline: Tuesday, December 15, 2020
Solicitation Link: https://www.aera.net/Professional-Opportunities-Funding/AERA-Funding-Opportunities/Grants-Program/Dissertation-Grants

Overview

<p class="btn btn-gold"><strong><span>Proposal Deadline Extended to December 15, 2020</span></strong></p> <p>With support from the National Science Foundation, the American Educational Research Association (AERA) Grants Program seeks proposals for Dissertation Grants. The AERA Grants Program provides advanced graduate students with research funding and professional development and training. The program supports highly competitive dissertation research using rigorous quantitative methods to examine large-scale, education-related data. The aim of the program is to advance fundamental knowledge of relevance to STEM policy, foster significant science using education data, and build research capacity in education and learning. Since 1991, this AERA Program has been vital to both research and training at early career stages.</p> <p> The Grants Program encourages the use of major data sets from multiple and diverse sources. It emphasizes the advanced statistical analysis of data sets from the U.S. Department of Education’s National Center for Education Statistics (NCES), the National Science Foundation (NSF), and other federal agencies. The program also supports studies using large-scale international data systems (e.g., PISA, PIRLS, or TIMMS) that benefit from U.S. federal government support. In addition, statewide longitudinal administrative data systems (SLDS) enhanced through federal grants are also eligible for consideration. The inclusion of federal or state administrative information that further expands the analytic capacity of the research 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.</p> <p> The Grants Program is open to field-initiated research and welcomes proposals that:</p> <ol> <li>develop or benefit from advanced statistical or innovative quantitative methods or measures;</li> <li>analyze more than one large-scale national or international federally funded data set, or more than one statewide longitudinal data system (SLDS) or incorporate other data enhancements;</li> <li>integrate, link, or blend multiple large-scale data sources; or</li> <li>undertake replication research of major findings or major studies using large-scale, federally supported or enhanced data.</li> </ol> <p>The Grants Program encourages proposals across the life span and contexts of education and learning of relevance to STEM policy and practice. The research may focus on a wide range of topics, including but not limited to such issues as student achievement in STEM, contextual factors in education, educational participation and persistence (pre-kindergarten through graduate school), early childhood education and development, postsecondary education, and the STEM workforce and transitions. Studies that examine issues of specific racial and ethnic groups, social classes, genders, or persons with disabilities are encouraged.</p>

Solicitation Limitations: <p>Applicants for this one-year, non-renewable award should be advanced doctoral students at the dissertation writing stage, usually the last year of study. Applicants may be U.S. citizens or U.S. permanent residents enrolled in a doctoral program. Non-U.S. citizens enrolled in a doctoral program at an U.S. institution are also eligible to apply.</p> Other Information:<p><strong><strong><em>Award Component 1, $25,000 Stipend</em></strong><strong>.</strong></strong></p> <p><strong><em>Award Component 2, AERA Research Conference.</em></strong></p> <p><strong><em><strong><em>Award Component 3, AERA Annual Meeting Capstone Research Institute.</em></strong></em></strong></p> <p><strong><strong>Informational Webinar</strong><br> </strong>Applicants are encouraged to watch the <a href="https://aera.elevate.commpartners.com/&quot; target="_blank">informational webinar</a> to learn more about the AERA Grants Program and discuss the application process. The recorded webinar is available through the <a href="https://www.aera.net/ProfessionalOpportunitiesFunding/VirtualResearchLe…; target="_blank">AERA Virtual Research Learning Center</a>.</p> <p><strong>Data Set Eligibility</strong><br> The dissertation research project must include the analysis of large-scale data. 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. Although the emphasis is on large-scale education data sets and systems, other social science and health-related databases that can advance knowledge about education and learning are eligible for consideration.</p> <p>Many national data resources, including important longitudinal data sets, have been developed or funded by NCES, NSF, the U.S. Department of Labor, the U.S. Census Bureau, the National Institutes of Health, or other federal agencies. International datasets such as PISA, PIAAC, TIMMS, and others are supported. If international data sets are used, the study must include U.S. education.</p> <p>NCES has enhanced and improved SLDS through grants to nearly every state, the District of Columbia, Puerto Rico, the Virgin Islands, and America Samoa. This federal investment has produced state-level data from pre-K to grade 12, through higher education, and into the workforce. Many SLDS are available for analysis and can be used to address salient issues in education research or linked with other data sets.</p> <p><strong>Data Set Access</strong><br> The data set(s) of interest must be available for analysis at the time of application. Use of public or restricted-data files is permissible. Prior to receiving funding, students must provide documentation that they have permission to use the data for the research project. In many cases, graduate students will gain access to restricted files through a faculty member or senior scholar.</p> <p><strong>Data Sharing</strong><br> 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. Grantees are expected to place article-related data,<a href="https://www.aera.net/Professional-Opportunities-Funding/AERA-Funding-Op…; title="">[1]</a> codebook or coding procedures, algorithms, code, and so forth in an accessible archive at the time of publication. Also, at a reasonable time after completion of the dissertation research, all data or data-related products must be archived at the AERA-ICPSR Data Sharing Repository supported by NSF and located at the Inter-university Consortium for Political and Social Research (ICPSR) at the University of Michigan. AERA provides guidance to facilitate the data sharing and archiving process.</p> <p></p>


Last Updated:
RODA ID: 1089