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Disaggregating Higher Education Finance Data for Student-Centered Decision Making

Change (New Rochelle, N.Y.), 2023-05, Vol.55 (3), p.20-27

2023 The Author(s). Published with license by Taylor & Francis Group, LLC. 2023 ;Copyright Taylor & Francis Inc. May/Jun 2023 ;ISSN: 0009-1383 ;EISSN: 1939-9146 ;DOI: 10.1080/00091383.2023.2195272

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  • Title:
    Disaggregating Higher Education Finance Data for Student-Centered Decision Making
  • Author: Johnson, Nate
  • Subjects: College students ; Costs ; Data Analysis ; Decision making ; Education finance ; Educational Equity (Finance) ; Educational Finance ; Endowment Funds ; Ethnicity ; Expenditure per Student ; Higher Education ; Investment ; Majors (Students) ; Racial Differences ; State Aid ; Teacher Salaries
  • Is Part Of: Change (New Rochelle, N.Y.), 2023-05, Vol.55 (3), p.20-27
  • Description: In recent decades, education leaders and researchers have increasingly sought to disaggregate key higher education outcome data--graduation rates, attainment, employment, and income--by race and ethnicity in order to uncover and narrow equity gaps. The same is true, recently, for affordability, especially as it relates to the differential impact of student debt on students and families. What has been missing from these developments, however, are methods to disaggregate and talk about the financial inputs as well as the outcomes. In part, this is because the conventions of expenditure analysis in higher education were built around institutions and departments, not students, with a view to efficiency rather than equity. This article presents a set of measures intended to inform a conversation about equity in the measurement of postsecondary finance. Building on a framework that looked at institutional funding differences for lower- and higher-income students (Johnson, 2017), this effort focused primarily on race and ethnicity (and in a few cases, gender). Ideally, these measures would complement the work already done on disaggregated outcomes and help quantify gaps in investment that at least partially explain gaps in results.
  • Publisher: Philadelphia: Routledge
  • Language: English
  • Identifier: ISSN: 0009-1383
    EISSN: 1939-9146
    DOI: 10.1080/00091383.2023.2195272
  • Source: Taylor & Francis Open Access Journals

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