Open Access. Powered by Scholars. Published by Universities.®

Higher Education Commons

Open Access. Powered by Scholars. Published by Universities.®

Higher Education Administration

PDF

University of Louisville

Journal of Student Financial Aid

Low-income students

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Higher Education

Study Abroad For Low-Income Students: The Relationship Between Need-Based Grant Aid And Access To Education Abroad, Melissa Whatley, Ashley B. Clayton Jan 2020

Study Abroad For Low-Income Students: The Relationship Between Need-Based Grant Aid And Access To Education Abroad, Melissa Whatley, Ashley B. Clayton

Journal of Student Financial Aid

This study explores factors related to low-income students’ decisions to participate in study abroad while focusing specifically on the role of need-based grant aid in this decision-making process. Estimates account for systematic differences between students receiving and not receiving need-based grant aid using propensity score modeling (PSM) before disaggregating models by need-based grant aid status. Results indicate that need-based grant aid significantly increases a student’s probability of participating in study abroad. Additionally, disaggregated models show that the study abroad decisions of students receiving need-based grant aid differ significantly from those not receiving this aid, particularly when considering other forms of …


Take It, Or Leave It? Analyzing How Unsubsidized Federal Loans Affect Six-Year Degree Attainment Across Income Groups, Ray Franke Jul 2019

Take It, Or Leave It? Analyzing How Unsubsidized Federal Loans Affect Six-Year Degree Attainment Across Income Groups, Ray Franke

Journal of Student Financial Aid

This study examined the effects of unsubsidized federal Stafford loans on six-year degree attainment at 4-year colleges and universities in the U.S., and how these differentially impact students across income groups. For this, nationally representative data from the Beginning Postsecondary Students (BPS:04/09) and the Integrated Postsecondary Education Data System (IPEDS) was merged to analyze N=6,561 students attending n=651 four-year institutions. To account for possible selection bias in loan borrowing and the nested data structure, this study employs a propensity score matching, multilevel modeling approach. In addition to financial aid measures, the analytic model draws from the heterogeneous research approach and …