Conference paper
Examining University Student Transfer Intentions using Logistic Regression
Proceedings of the 2009 Australian and New Zealand Marketing Academy Conference, pp.1-8
Australian & New Zealand Marketing Academy Conference (ANZMAC), 2009 (Melbourne, Australia, 30-Nov-2009–02-Dec-2009)
Australian and New Zealand Marketing Academy (ANZMAC)
2009
Abstract
The purpose of this research was to determine the predictors of first-year students' transfer intentions as a means to more effectively address student attrition. Based upon the literature and a qualitative exploratory study (n = 29), 17 factors associated with student attrition were identified. Data collected from the ensuing quantitative main study (n = 334) across three universities was analysed using multinomial and binary logistic regression. The results revealed that a) students' plans at commencement to complete their study at their current university; and b) students' inertia once enrolled at a university significantly differentiated between those students who intended to stay, those who intended to leave and those that were undecided at the end of their first year at university.
Details
- Title
- Examining University Student Transfer Intentions using Logistic Regression
- Authors
- Maria Raciti (Author) - University of the Sunshine Coast - Faculty of Business
- Contributors
- D Tojib (Editor)
- Publication details
- Proceedings of the 2009 Australian and New Zealand Marketing Academy Conference, pp.1-8
- Conference details
- Australian & New Zealand Marketing Academy Conference (ANZMAC), 2009 (Melbourne, Australia, 30-Nov-2009–02-Dec-2009)
- Publisher
- Australian and New Zealand Marketing Academy (ANZMAC)
- Date published
- 2009
- ISBN
- 1863081585
- Copyright note
- Copyright © 2009 ANZMAC and the authors. Reproduced with permission of the copyright holder.
- Organisation Unit
- School of Business and Creative Industries; Indigenous and Transcultural Research Centre; University of the Sunshine Coast, Queensland; USC Business School - Legacy; Sustainability Research Cluster
- Language
- English
- Record Identifier
- 99449767402621
- Output Type
- Conference paper
- Research Statement
- false
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