Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/19751
Title: Microeconometric Analysis of the Relationships Between Early Alert Systems and Student Retention
Contributor(s): Harrison, Scott Andrew (author); Villano, Renato  (supervisor)orcid ; Chen, George  (supervisor)orcid ; Lynch, Grace  (supervisor)
Conferred Date: 2016-10-21
Copyright Date: 2015
Thesis Restriction Date until: Access restricted until 2020-10-22
Handle Link: https://hdl.handle.net/1959.11/19751
Abstract: The main objective of this study is to evaluate the relationship between Early Alert Systems (EAS) and student retention. Specifically, the study aims to: (i) examine the effects of demographic, institutional and learning environment variables on student retention, (ii) examine the effects of EAS on student retention, and (iii) assess the financial implications of the interaction between EAS and student retention. Selected microeconometric models were estimated using data for 16,124 undergraduate students extracted from a case study university. The data was captured over three years between 2011 and the beginning of 2014. Key findings of this study show that demographic, institution, student performance and workload variables all exhibit statistically significant relationships with retention measures at the case study institution.
Publication Type: Thesis Doctoral
Fields of Research (FoR) 2008: 140301 Cross-Sectional Analysis
140208 Health Economics
160510 Public Policy
Fields of Research (FoR) 2020: 380201 Cross-sectional analysis
380108 Health economics
440709 Public policy
Socio-Economic Objective (SEO) 2008: 920204 Evaluation of Health Outcomes
910405 Public Sector Productivity
910205 Industry Policy
Socio-Economic Objective (SEO) 2020: 200202 Evaluation of health outcomes
150305 Public sector productivity
150505 Industry policy
Rights Statement: Copyright 2015 - Scott Andrew Harrison
Open Access Embargo: 2020-10-22
HERDC Category Description: T2 Thesis - Doctorate by Research
Publisher/associated links: https://doi.org/10.1145/2883851.2883923
https://doi.org/10.1007/s10734-018-0249-y
https://doi.org/10.1145/2723576.2723621
Appears in Collections:Thesis Doctoral
UNE Business School

Files in This Item:
9 files
File Description SizeFormat 
Show full item record

Page view(s)

2,648
checked on May 19, 2024

Download(s)

16
checked on May 19, 2024
Google Media

Google ScholarTM

Check


Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.