Return to search

Virtually the same: Using Bayesian methods to investigate the relationships between online course delivery and postsecondary student enrollment, course outcomes, and degree attainment

Over the past number of years, postsecondary students have increasingly enrolled in online courses. In this dissertation, I use human capital theory and Bayesian statistical analyses to investigate how students choose these courses, whether students perform as well in them as they do in face-to-face courses, and what the long-term degree outcomes among online course-takers may be. I first examine a potential mechanism of a studentâs choice to take online courses: access to high speed broadband. In preferred specifications, I find that every tier increase in download speed is associated with a 41% to 56% average increase in the number of students who enroll in at least one online course. I next estimate the effect of online delivery format on course outcomes among students enrolled in the University System of Georgia, finding that those in online courses were 2.8 percentage points more likely to withdraw and, conditional on completing the course, 5.4 percentage points less likely to pass with a C- or better. Finally, I produce state-level estimates of differences in aggregate degree outcomes between sometimes-online and never-online students using survey data that are only nationally representative with a technique from political science, Bayesian multilevel regression with poststratification (BMRP). On average, I find that never-online students were slightly more likely to earn a bachelorâs degree in six years, while students who took any online courses were slightly more likely to earn an associate degree in three years. Results vary considerably across the states, however, justifying the use of the method. My dissertation contributes to the education policy literature both through its empirical findings and its use of Bayesian methodologies. With each question, I offer new insights into postsecondary online courses that support a better understanding of how these courses may fit into studentsâ human capital enrollment decisions.

Identiferoai:union.ndltd.org:VANDERBILT/oai:VANDERBILTETD:etd-06232017-134350
Date26 June 2017
CreatorsSkinner, Benjamin Thomas
ContributorsCarolyn J. Heinrich, Joshua D. Clinton, Angela Boatman, William R. Doyle
PublisherVANDERBILT
Source SetsVanderbilt University Theses
LanguageEnglish
Detected LanguageEnglish
Typetext
Formatapplication/pdf
Sourcehttp://etd.library.vanderbilt.edu/available/etd-06232017-134350/
Rightsunrestricted, I hereby certify that, if appropriate, I have obtained and attached hereto a written permission statement from the owner(s) of each third party copyrighted matter to be included in my thesis, dissertation, or project report, allowing distribution as specified below. I certify that the version I submitted is the same as that approved by my advisory committee. I hereby grant to Vanderbilt University or its agents the non-exclusive license to archive and make accessible, under the conditions specified below, my thesis, dissertation, or project report in whole or in part in all forms of media, now or hereafter known. I retain all other ownership rights to the copyright of the thesis, dissertation or project report. I also retain the right to use in future works (such as articles or books) all or part of this thesis, dissertation, or project report.

Page generated in 0.0019 seconds