NWEA science achievement trend analysis dataset¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 2 studies (2 associational),q1–q2· 0 of 2 report an effect size · 2 claims rest on one study
Description¶
A dataset and technical brief produced by NWEA researchers containing MAP Growth science achievement and growth trends across seven school years to examine pandemic-era learning patterns.
Components¶
- NWEA science achievement trend analysis dataset covering seven school years (2019-2024): This element is the large-scale analysis of U.S. science achievement produced by NWEA researchers, examining "science test scores across seven school years" to understand pandemic effects. It extends NWEA's previous research series on math and reading achievement to the science domain, and is accompanied by a technical brief describing the study's data and methods. (Kowalski et al. (2024))
Claims¶
- The COVID-19 pandemic influenced U.S. science achievement, as shown by trends in science test scores across seven school years from 2019 through 2024 [+W]
- NWEA's 2024 technical brief examines pandemic impacts on science achievement and gains from 2019 through 2024, continuing research on COVID-19 school-closure effects on learning [+W]
Related Products and Programmes¶
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Key Sources¶
- Kowalski, S., Peters, S. J., Kuhfeld, M., Robinson, G., & Lewis, K. (2024). COVID's impact on science achievement: Trends from 2019 through 2024. NWEA Research. https://www.nwea.org/research/publication/covids-impact-on-science-achievement-trends-from-2019-through-2024/
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
nwea-science-achievement-trend-analysis-dataset |
title |
NWEA science achievement trend analysis dataset |
description |
A dataset and technical brief produced by NWEA researchers containing MAP Growth science achievement and growth trends across seven school years to examine pandemic-era learning patterns. |
status |
review |
moved_from |
element/nwea-science-achievement-trend-analysis-2019-2024 |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — kowalski-2024 |
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