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Examining University Student Transfer Intentions using Logistic Regression
Conference paper   Open access   Peer reviewed

Examining University Student Transfer Intentions using Logistic Regression

Maria Raciti
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
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Abstract

Marketing marketing education higher education student retention
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.

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