What Comes after Lunch? : Alternative Measures of Economic and Social Disadvantage and Their Implications for Education Research (Research in Education Fiscal Policy and Practice)

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What Comes after Lunch? : Alternative Measures of Economic and Social Disadvantage and Their Implications for Education Research (Research in Education Fiscal Policy and Practice)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 204 p.
  • 言語 ENG
  • 商品コード 9798887305622

Full Description

Faced with the problem of how to measure the magnitude of economic disadvantage in the populations served by schools or districts, researchers addressing school finance topics have invariably turned to the fraction of students eligible for free- or reduced-lunches (FRPL). But the facile dependence on FRPL may be problematic. A large and growing literature in learning sciences and in the field of education itself has pivoted towards studies that explore the relationship between social/emotional health and the learning of children. The growing body of research on social/emotional health and learning (e.g. Gershoff, Aber, Raver, and Lennon, 2007) suggests that more refined measures of wealth, income and hardship more fully account for the effects of economic disadvantage than does FRPL. Historically, research in school finance has not utilized these refined measures but instead has depended on FRPL.

The Community Eligibility Provision (CEP), a recent change in how student eligibility for free lunch is determined, may have the unintended, and yet fortuitous, consequence that it will force school finance researchers to use more sophisticated measures of student hardship. The CEP makes it possible for schools serving low-income populations to classify all students as eligible for free- or reduced-price lunch. Koedel and Parsons (2021) argue that, while FRPL might have been a workable measure of student disadvantage prior to CEP, post-CEP the extent of a school's or a district's population that is disadvantaged is no longer measured accurately by FRPL. The CEP made accurate FRPL counts less critical for many schools and districts; post-pandemic legislation (Vock, 2023) in a number of states to make school meals free for all students in those states has increased the number of districts for which accurate counts are unimportant. Fazlul, Koedel, and Parsons (2023) go on to argue that, even prior to CEP, FRPL failed to provide an accurate measure of a school or district's poverty. This new policy environment makes it imperative to explore alternatives to FRPL and the implications for school finance.

The book aims to provide a timely collection of new research on a measurement issue that is central to much research on K-12 education finance. The book is meant to serve scholars in education finance and policy who need a refined perspective on the context of schooling. The book is also meant to serve students and faculty from programs in public administration, public policy, community development and applied economics, education administration, educational leadership and policy studies who are studying content related to education policy, the economics of education, state and local public finance, and taxation. Some upper-level undergraduate students may also benefit from this resource.

Contents

Introduction; Tom Downes and Kieran Killeen.

Chapter 1. Measuring Family Income and Student Risk in Public Schools: A Conceptual and Empirical Comparison of Options; Ishtiaque Fazlul, Cory Koedel, and Eric Parsons.

Chapter 2. Measuring Economic Disadvantage in Schools in the Post-CEP Era; Michelle Spiegel, Leah R. Clark, Thurston Domina, Vitaly Radsky, and Andrew Penner.

Chapter 3. Understanding School-Level Funding and Student Poverty: An Assessment Using Traditional and New Measures of Student Need; Kristin Blagg and Emily Gutierrez.

Chapter 4. Beyond Binary Indicators: Measuring Socioeconomic Status and Capturing Socioeconomic Heterogeneity in High-Poverty Contexts; Jeremy Singer.

Chapter 5. Weighted Student Funding With Alternatives to Free and Reduced-Price Lunch Eligibility Data; Sarah Souders, Michah W. Rothbart, and Amy Ellen Schwartz.

Chapter 6. Does the Measure Matter? The Sensitivity of Cost Function Estimates to the Choice of Measure of District Poverty; Thomas Downes and Kieran M. Killeen.

About the Contributors.

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