Evidence map›Paper›PMID 39604431›Full record

ArticleNPJ science of learning2024

Inequality in pandemic effects on school track placement and the role of social and academic embeddedness.

Herman G van de Werfhorst, Dieuwke Zwier, Sara Geven, Thijs Bol, Carla Haelermans

Abstract read
In one paragraph

Article in NPJ science of learning, 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
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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

5 authors.

Herman G van de WerfhorstEuropean University Institute, Florence, Italy. Herman.vandeWerfhorst@eui.eu.ORCID http://orcid.org/0000-0003-2323-3782
Dieuwke ZwierEuropean University Institute, Florence, Italy.ORCID http://orcid.org/0000-0002-5898-5557
Sara GevenUniversity of Amsterdam, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0003-1449-6513
Thijs BolUniversity of Amsterdam, Amsterdam, the Netherlands.
Carla HaelermansMaastricht University, the Netherlands, Netherlands Initiative for Education Research (NRO), and NOLAI, Radboud University, Nijmegen, the Netherlands.ORCID http://orcid.org/0000-0002-9202-8427

Funding

Nationaal Regieorgaan Onderwijsonderzoek (Netherlands Initiative for Educational Research) 40.5.18325.001Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.Veni.195.125Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 453-14-017
6 · The paper itself

Abstract

Using register data and linked student-level sociometric survey data from the Netherlands, this study examines whether the impact of the COVID-19 pandemic on schooling outcomes (track recommendation and track enrollment in the seventh and ninth grades) is conditional on students' academic and social embeddedness in the school setting. We estimated the counterfactual outcomes for the cohort that went through the school transition during the pandemic based on the outcomes of the pre-pandemic cohort, with similar earlier achievements, schools, and social backgrounds. Results show that the pandemic's effect on tracking outcomes is weaker than its effect on student test scores elsewhere reported. Nevertheless, the pandemic has had stronger adverse impact on disadvantaged students. Moreover, student self-efficacy, academic motivation, and parental involvement are related to more negligible negative pandemic effects on schooling outcomes. We find no evidence for an association between student grit or parental network centrality and the magnitude of estimated pandemic effects.

Identifiers

PMID39604431
PMCPMC11603330

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LicenceCC BY
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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.