Evidence map›Paper›PMID 40734695›Full record

ArticleResearch in social stratification and mobility2024

Who benefits from elite colleges' decreased reliance on high-stakes standardized tests? Evidence from a quasi-field experiment.

Wei-Hsin Yu, Kuo-Hsien Su

Abstract read
In one paragraph

Article in Research in social stratification and mobility, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Wei-Hsin YuDepartment of Sociology, University of California, Los Angeles, USA.
Kuo-Hsien SuDepartment of Sociology, National Taiwan University, Taiwan.

Funding

Statistics and Methods CoreR24HD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI PEBLEY, ANNE R · 2001 to 2016
$10.1M
Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
NICHD NIH HHS P2C HD041022NICHD NIH HHS R24 HD041022
6 · The paper itself

Abstract

Despite the increasingly popular perception that elite colleges' reliance on high-stakes standardized tests to select students exacerbates social inequality, researchers have not demonstrated that a reduced emphasis on such tests actually alters individuals' admission outcomes. Using all applications submitted in 2022 to National Taiwan University, the most prestigious university in Taiwan, we show who among the applicants would have been admitted under the country's prior college admission system, which was entirely based on high-stakes standardized test scores, and contrast them with those actually admitted in the current system, which emphasizes holistic evaluations and considers many other criteria. The results indicate that for the majority of students the admission outcomes would be unchanged. Even among those whose outcomes would differ, class backgrounds are not clearly related to the direction of change in the outcome. Rather than students of upper- or lower-class backgrounds, women are the unequivocal beneficiary from the decreased reliance on high-stakes standardized tests. The analysis suggests that the better high school grades and more comprehensive application materials submitted by women applicants contribute to a considerable part of the female advantage in a more holistic admission system. Evidence from this quasi-field experiment has implications for how changes in the structural elements of the educational system affect elite college access.

Indexed as

Elite college admissionExperimentHigh-stakes standardized testsSocial inequality

Identifiers

PMID40734695
PMCPMC12306636

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.