SEDA2022 1.0

The Stanford Education Data Archive (SEDA) is an initiative aimed at harnessing data to help researchers, policymakers, educators, and parents learn how to improve educational opportunity for all children. SEDA is publicly available and includes measures of academic achievement, racial and socioeconomic composition and segregation, and other features of the schooling system. These data can be used to generate evidence about what policies and contexts are most effective at increasing educational opportunity.

The SEDA 2022 dataset is unique from other versions of SEDA. SEDA 2022 1.0, includes district-level data for a subset of states on the average math and reading achievement in 2019 and 2022 respectively, and the change in math and reading achievement between 2019 and 2022 relative to the national average in grades 3-8 in 2019.

More recent versions of the SEDA2022 data are available. To find the current version of the data, please visit: www.edopportunity.org/get-the-data.

DATA USE AGREEMENT:

You agree not to use the data sets for commercial advantage, or in the course of for-profit activities. Commercial entities wishing to use this Service should contact Stanford University’s Office of Technology Licensing (info@otlmail.stanford.edu).

You agree that you will not use these data to identify or to otherwise infringe the privacy or confidentiality rights of individuals.

THE DATA SETS ARE PROVIDED “AS IS” AND STANFORD MAKES NO REPRESENTATIONS AND EXTENDS NO WARRANTIES OF ANY KIND, EXPRESS OR IMPLIED. STANFORD SHALL NOT BE LIABLE FOR ANY CLAIMS OR DAMAGES WITH RESPECT TO ANY LOSS OR OTHER CLAIM BY YOU OR ANY THIRD PARTY ON ACCOUNT OF, OR ARISING FROM THE USE OF THE DATA SETS.

You agree that this Agreement and any dispute arising under it is governed by the laws of the State of California of the United States of America, applicable to agreements negotiated, executed, and performed within California.

You agree to acknowledge the Stanford Education Data Archive as the source of these data. In publications, please cite the data as:

Reardon, S. F., Fahle, E. M., Ho, A. D., Shear, B. R., Kalogrides, D., Saliba, J., & Kane, T.J. (2022). Stanford Education Data Archive (Version SEDA 2022 1.0). [https://purl.stanford.edu/jm728cq7283] [https://doi.org/10.25740/jm728cq7283]

Subject to your compliance with the terms and conditions set forth in this Agreement, Stanford grants you a revocable, non-exclusive, non-transferable right to access and make use of the Data Sets.