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dc.contributor.authorPerry, Angelaen
dc.date.accessioned2020-08-19T22:13:48Zen
dc.date.available2020-08-19T22:13:48Zen
dc.date.issued2020-07-21en
dc.identifier.urihttp://hdl.handle.net/10919/99750en
dc.description.abstractStates invest heavily in education, providing funding either directly or in the form of financial aid from preschool through college, with positive outcomes from those impacting nearly every other area of public policy, particularly the workforce. To understand and assess results, states collect and analyze information about these investments at various levels, and most have already created longitudinal data systems. These systems empower students to make better-informed decisions and provide policymakers with a deeper understanding of the factors that shape student outcomes in order to create public policy to address state priorities. This examines how states – Texas, Virginia, and Maryland – have utilized financial aid data in their longitudinal and higher education data systems and provides recommendations for how California can follow suit to build a longitudinal data system that will help address equity gaps within the state.en
dc.description.sponsorshipThe Institute for College Access and Successen
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherThe Institute for College Access and Successen
dc.rightsCreative Commons Attribution NonCommercial NoDerivs 3.0 Unporteden
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/en
dc.subjecteducation, higher--government policy|student financial aiden
dc.subjectdata systemen
dc.titleWhat’s Aid Got to Do With It? The Importance of Incorporating Financial Aid Data in California’s Cradle-to-Career Data Systemen
dc.typeReporten
dc.date.accessed2020-07-29en
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen
dc.identifier.sourceurlhttps://ticas.org/wp-content/uploads/2020/07/whats-aid-got-to-do-with-it.pdfen


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Creative Commons Attribution NonCommercial NoDerivs 3.0 Unported
License: Creative Commons Attribution NonCommercial NoDerivs 3.0 Unported