Stanford Educational Data Archive (SEDA)¶
Product or Programme · All products and programmes
Evidence · 7 claims (4 for, 3 mixed) · 1 study (1 associational),q3· 0 of 1 report an effect size · 7 claims rest on one study
Description¶
A Stanford Education Data Archive dataset providing district-level estimates of mathematics and ELA achievement and growth for Grades 3–8 across U.S. school districts.
Components¶
- Stanford Educational Data Archive (SEDA) district achievement and growth dataset: SEDA is described as "the first data set to allow comparisons of district academic achievement and growth from Grades 3 to 8 across the United States, shining a light on the distribution of educational opportunities." It provides district-level achievement and growth estimates in mathematics and ELA for grades 3 through 8, which this study validates against MAP Growth-based estimates. The dataset is used to study the distribution of educational opportunities across US districts. (Megan Kuhfeld et al. (2019))
- SEDA measures of district educational opportunity: SEDA is described by the brief as a data resource providing "a unique measure of educational opportunity across the United States". It produces both achievement scores and growth estimates at the district level, and this brief reports validation of those measures against a common assessment. The validation research supports the achievement scores while revealing differences in the growth estimates. (Megan Kuhfeld et al. (2019))
Claims¶
- Discrepancies between SEDA and MAP Growth ELA growth estimates are slightly more pronounced in high-socioeconomic-status districts [~W]
- Small systematic discrepancies imply SEDA growth estimates may not generalize to MAP Growth-based estimates in some states [~W]
- SEDA and MAP Growth district growth estimates in ELA correlate at .82 (precision-adjusted) [+W]
- SEDA growth estimates show a high degree of congruence with MAP Growth-based estimates overall [+W]
- SEDA and MAP Growth district growth estimates in mathematics correlate at .90 (precision-adjusted) [+W]
- Validation research via a common assessment supports SEDA achievement scores [+W]
- SEDA growth estimates show differences from common-assessment-based estimates [~W]
Related Products and Programmes¶
Key Sources¶
- Megan Kuhfeld, Thurston Domina, Paul Hanselman. (2019). Validating the SEDA measures of district educational opportunities via a common assessment. AERA Open 5(2). https://www.nwea.org/research/publication/validating-the-seda-measures-of-district-educational-opportunities-via-a-common-assessment/
- Megan Kuhfeld, Thurston Domina, Paul Hanselman. (2019). Validating the SEDA measures of district educational opportunities via a common assessment. NWEA Research brief. https://www.nwea.org/research/publication/validating-the-seda-measures-of-district-educational-opportunities-via-a-common-assessment-brief/
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
stanford-educational-data-archive-seda |
title |
Stanford Educational Data Archive (SEDA) |
description |
A Stanford Education Data Archive dataset providing district-level estimates of mathematics and ELA achievement and growth for Grades 3–8 across U.S. |
status |
review |
moved_from |
element/seda-district-achievement-growth-dataset, element/seda-district-educational-opportunity-measures |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — megan-kuhfeld-2019 |
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