ArticleJournal of research on educational effectiveness2023
Consistency between Household and County Measures of Onsite Schooling during the COVID-19 Pandemic.
Article in Journal of research on educational effectiveness, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- In-person schooling and associated COVID-19 risk in the United States over spring semester 2021.Science advances · 2022Article
- Household COVID-19 risk and in-person schooling.Science (New York, N.Y.) · 2021Article
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Authors and funding
6 authors.
Funding
Abstract
The academic, socioemotional, and health impacts of school policies throughout the COVID-19 pandemic have been a source of many questions that require accurate information about the extent of onsite schooling occurring. This article investigates school operational status datasets during the pandemic, comparing (1) self-report data collected nationally on the household level through a Facebook-based survey, (2) county-level school policy data, and (3) a school-level closure status dataset based on phone GPS tracking. The percentage of any onsite instruction within states and counties are compared across datasets from December 2020 to May 2021. Sources were relatively consistent at the state level and for large counties, but key differences were revealed between units of measurement, showing differences between policy and household decisions surrounding children's schooling experiences. The consistency levels across sources support the usage of each of the school policy sources to answer questions about the educational experiences, factors, and impacts related to K-12 education across the nation during the pandemic, but it remains vital to think critically as to which unit of measurement is most relevant to targeted research questions.
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