{"title":"Politics, Covid, and In-Person Instruction During the First Year of the Pandemic","authors":"David M. Houston, Matthew P. Steinberg","doi":"10.1177/08959048231204843","DOIUrl":null,"url":null,"abstract":"In spring 2020, nearly every U.S. public school closed at the onset of the Covid-19 pandemic. Existing evidence suggests that local political partisanship was a better predictor of in-person instruction than Covid case and death rates in fall 2020. We replicate and extend these analyses using data collected over the entirety of the 2020–21 academic year. We affirm that local political partisanship was an important initial predictor of county-level in-person instruction rates. We also demonstrate that, under certain conditions, Covid case and death rates were meaningfully associated with initial rates of in-person instruction. We reveal that partisanship became less predictive—and prior average student achievement became more predictive—of in-person instruction as the school year continued. We then leverage data from two nationally representative surveys of Americans’ attitudes toward education and identify an as-yet-undiscussed factor that predicts in-person instruction: public support for increasing teachers’ salaries.","PeriodicalId":47728,"journal":{"name":"Educational Policy","volume":"123 22","pages":"0"},"PeriodicalIF":1.6000,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Policy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/08959048231204843","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0
Abstract
In spring 2020, nearly every U.S. public school closed at the onset of the Covid-19 pandemic. Existing evidence suggests that local political partisanship was a better predictor of in-person instruction than Covid case and death rates in fall 2020. We replicate and extend these analyses using data collected over the entirety of the 2020–21 academic year. We affirm that local political partisanship was an important initial predictor of county-level in-person instruction rates. We also demonstrate that, under certain conditions, Covid case and death rates were meaningfully associated with initial rates of in-person instruction. We reveal that partisanship became less predictive—and prior average student achievement became more predictive—of in-person instruction as the school year continued. We then leverage data from two nationally representative surveys of Americans’ attitudes toward education and identify an as-yet-undiscussed factor that predicts in-person instruction: public support for increasing teachers’ salaries.
期刊介绍:
Educational Policy provides an interdisciplinary forum for improving education in primary and secondary schools, as well as in high education and non school settings. Educational Policy blends the best of educational research with the world of practice, making it valuable resource for educators, policy makers, administrators, researchers, teachers, and graduate students. Educational Policy is concerned with the practical consequences of policy decisions and alternatives. It examines the relationship between educational policy and educational practice, and sheds new light on important debates and controversies within the field. You"ll find that Educational Policy is an insightful compilation of ideas, strategies, and analyses for improving our educational systems.