ERIC Number: ED669152
Record Type: Non-Journal
Publication Date: 2021
Pages: 107
Abstractor: As Provided
ISBN: 979-8-5381-0983-8
ISSN: N/A
EISSN: N/A
Available Date: 0000-00-00
Analyzing Application Yield Data to Forecast Enrollment
Shelly Stone-Moye
ProQuest LLC, Ed.D. Dissertation, Wingate University
The decision to enroll in college is not a single choice but rather the final step of a much longer process in which students make a series of choices regarding how to think about, research, and decide on enrolling. Traditionally, enrollment managers have used the enrollment funnel as a model to focus resources and efforts on acquiring and recruiting new students. Enrollment funnel models used by institutions are varied, but irrespective of the models used, they all have one or more of the following progression levels: prospects, inquiries, applicants, admits, and enrollees. This study used both quantitative and qualitative methodologies to identify factors that influence community college enrollment and the background characteristics of students who choose to enroll or not enroll. Student application data submitted through the college's online application process between fall 2017 and fall 2019 were collected and analyzed. The study examined enrollment variances using a logistic regression model to predict students' enrollment probabilities based on identified variables: demographic, academic, geographic, financial, socioeconomic status (SES), and behavioral data. Results from this study revealed that student behaviors and choices, such as deciding to apply for financial aid and participate in dual enrollment programs, have a significant impact on their decision to enroll as does race, age, geographical location, and first-generation student status. Additionally, this study collected data on enrollment managers' perceptions and use of enrollment yield rates to forecast enrollment and how access to institutional resources can improve or expand enrollment management practices. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
Descriptors: Enrollment Trends, Community Colleges, Enrollment Influences, Decision Making, College Applicants, College Choice, Student Behavior, Student Characteristics, Differences, Enrollment Management, Admissions Officers, Administrator Attitudes, Enrollment Projections
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Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: Higher Education; Postsecondary Education; Two Year Colleges
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A