Building a Model to Test the Relationship Between Higher Education Spending and Student Debt

dc.contributor.authorBrod, Daviden
dc.contributor.committeechairSerna, Gabriel Ramonen
dc.contributor.committeememberMullen, Carol Annen
dc.contributor.committeememberKniola, David J.en
dc.contributor.committeememberJanosik, Steven M.en
dc.contributor.departmentHigher Educationen
dc.date.accessioned2018-07-04T08:00:44Zen
dc.date.available2018-07-04T08:00:44Zen
dc.date.issued2018-07-03en
dc.description.abstractThe rising cost of tuition and fees is no doubt a major contributor to rising student debt but it is certainly not the only factor. The amount of debt with which students may graduate can largely be a function of the type of institution they attend (Monks, 2014). There is a dearth of research that focuses on the institutional factors that relate to student debt consumption (Craig and Raisanen, 2014; Macy and Terry, 2007). Prior studies have shown that the amount of expenditures and the area in which an institution spends their money can impact salient student outcomes This quantitative dissertation sought to examine institutional expenditures within higher education and their possible relationship to student debt through a fixed-effects analysis that used data across a six-year period. This study examined public comprehensive master's level institutions as defined by the Carnegie Classification system. This institutional type has been overlooked within higher education research (Henderson, 2007). In short, this dissertation sought to investigate the relationship between spending within the public comprehensive master's level institution and average annual federal student loan use. This study found that there was a modest negative relationship between spending on research and academic support and student loan consumption. Spending on operation of maintenance and plant was positively related to student loan consumption. This dissertation further found that the number of students receiving the Pell grant, the percent of students that identify as Hispanic and the number of full-time equivalent (FTE) students were statistically significant regarding their student loan use. The percent of students receiving the Pell grant within an institution related to higher levels of student debt. The percent of students that identify as Hispanic and the number of FTEs were related to lower average levels of student debt. This study has implications for policymakers and administrators pursuing factors that reduce student loan usage and gives insight into the impacts of institutional spending. These findings also have implications for future research that explores not only institutional spending and student outcomes but also how spending may impact institutional mission and the composition of a student body.en
dc.description.abstractgeneralThere is no doubt that the cost of enrolling in a college or university has increased dramatically during the past few decades. There is significant research on the impacts of student loan use and what groups of students may be more or less prone to use student loans and possible associated outcomes (i.e. racial/ethnic background, job placement, homeownership and likelihood of default to name a few). What is far less explored are the ways in which an institution as a whole may impact student loan use. For example, we know very little about whether or not similar students attending similar schools would consume the same amount of student loans. If they do not this could be for a number of reasons. Unfortunately, there is a very limited set of studies that explore this phenomenon. This study explores one part of this puzzle by examining the spending patterns of public comprehensive master’s level institutions (i.e. Radford University, Eastern Kentucky University, Cal State Northridge) and their relationship to student loan use during a six-year period. Because these institutions tend to be less prominent than large research universities (Virginia Tech) they are often overlooked within higher education research. Prior research has found that the relationship between institutional spending and student outcome factors such as time to graduation, leadership development, and even the student body’s perception of their university are related. This study was undertaken in a very similar manner except the student outcome was the average annual amount of student loans consumed within the institutional population. There were relationships between spending categories (i.e. research, academic support and operation of maintenance and plant) and student loan use and not between other areas of spending (i.e. instruction, auxiliary, institutional support and student services). The findings from this study are important because even though we understand student loan use and the amount of debt students graduate with is a major concern we know little about the multitude of factors that may have an impact. This study is also important because it is easily replicable and draws data from easily available public databases. As student debt continues to be a concern and college administrators struggle to make up for lost revenues we should have measures and iv models that allow researchers and policymakers to readily explore how changes to a university’s spending patterns and even institutional classification may be effecting students.en
dc.description.degreePh. D.en
dc.format.mediumETDen
dc.identifier.othervt_gsexam:15855en
dc.identifier.urihttp://hdl.handle.net/10919/83862en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectEducation, Higheren
dc.subjectstudent debten
dc.subjectinstitutional expendituresen
dc.subjectstudent outcomesen
dc.titleBuilding a Model to Test the Relationship Between Higher Education Spending and Student Debten
dc.typeDissertationen
thesis.degree.disciplineHigher Educationen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

Files

Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
Brod_D_D_2018.pdf
Size:
1.26 MB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
Brod_D_D_2018_support_1.pdf
Size:
174.07 KB
Format:
Adobe Portable Document Format
Description:
Supporting documents