Individual-participant-data meta-analysis datasets of examination scores and passing rates disaggregated by minoritized-group status¶
Product or Programme · All products and programmes
Evidence · 2 claims (2 for) · 1 study (1 quant-synthesis),q4· 0 of 1 report an effect size · 2 claims rest on one study
Description¶
An openly available collection of individual-participant examination-score and passing-rate records disaggregated by minoritized-group or socioeconomic status, released by Theobald et al. for meta-analytic study of achievement gaps and instructional effects.
Components¶
Claims¶
- Active learning reduces the examination-score achievement gap between minoritized-group and non-minoritized students in undergraduate STEM by 33% on average [+M]
- Active learning narrows the passing-rate gap between minoritized-group and non-minoritized students in undergraduate STEM by 45% on average [+M]
Related Products and Programmes¶
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Key Sources¶
- Theobald Elli J. et al. (2020). Active learning narrows achievement gaps for underrepresented students in undergraduate science, technology, engineering, and math. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.1916903117
Page metadata
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type |
product |
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individual-participant-data-meta-analysis-datasets-of-examination-scores-and-passing-rates |
title |
Individual-participant-data meta-analysis datasets of examination scores and passing rates disaggregated by minoritized-group status |
description |
An openly available collection of individual-participant examination-score and passing-rate records disaggregated by minoritized-group or socioeconomic status, released by Theobald et al. |
status |
review |
product_kind |
dataset |
generated |
by process:settle-candidates on 2026-10-13 |
trust |
unverified — no one has confirmed this page's content |
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