Improving Education and Reducing Inequality in the United States: Obtaining New Insights from Population-Based Academic Performance Data
Solicitation Title: Improving Education and Reducing Inequality in the United States: Obtaining New Insights from Population-Based Academic Performance Data
Funding Amount: Accepted proposals will receive up to $20,000 in funding for a faculty project (junior or senior) and up to $7,000 for a graduate student project. Applications may be submitted by teams of researchers. The maximum funding for a faculty project will be $20,000. If a graduate student project has multiple students, we will consider funding up to $14,000. We expect to fund 5-7 proposals in each round.
Sponsor Deadline: Thursday, August 11, 2016
Solicitation Link: http://www.russellsage.org/research/funding/improving-education-and-reducing-inequality
Overview
<p><span>We seek research projects that deepen our understanding of educational opportunity and success in the United States by using data on academic achievement from the Stanford Education Data Archive constructed by Sean Reardon and colleagues (<a href="http://seda.stanford.edu">http://seda.stanford.edu</a>). Using data on the results of over 200 million standardized achievement tests taken by roughly 40 million public school students from 2009 to 2013, Reardon and colleagues have constructed data files that provide estimates of the distribution of academic performance on a common scale in every public school district in the United States (e.g., mean test scores, measures of rate of change in average test scores, racial ethnic achievement gaps). Because the data include school district, county, and state identifiers, researchers can link them to any other source of school district data. Applicants are encouraged to submit proposals utilizing this new data resource (in combination with other data sources). Studies that are able to plausibly identify the effects of policies, practices, and conditions on achievement inequality or the effects of achievement gaps on other outcomes and forms of inequality will be preferred over descriptive or correlational studies. We are particularly, though not exclusively, interested in studies aimed at understanding how to reduce inequality (educational inequality or subsequent forms of inequality).</span></p>
Solicitation Limitations: <p><span>Applicants can be doctoral students, postdoctoral fellows or faculty who received their Ph.D. on or after August 31, 2009. We are particularly interested in promoting racial/ethnic, gender and disciplinary diversity and strongly encourage applications from scholars who are underrepresented in the social sciences.</span></p> Other Information:<p><span>Researchers who receive awards are expected to present their results at a one-day academic conference in fall 2017. Applicants are encouraged to explore in detail the available data at <a href="http://seda.stanford.edu">http://seda.stanford.edu</a> and to be specific in the proposed analysis, including which data from the project they plan to use and any additional sources of data that will be required.</span></p>Last Updated:
RODA ID: 114