Predicting faculty membership - application of student choice Logit model

Kopanidis, F 2010, 'Predicting faculty membership - application of student choice Logit model', in Dr David Fortin and Dr Lucie K. Ozanne/ Dr Paul Ballantine and Dr Jörg Finsterwalder (ed.) Proceedings of the 2010 Australian and New Zealand Marketing Academy (ANZMAC) Conference, Christchurch, New Zealand, 29 November - 1 December 2010, pp. 1-8.


Document type: Conference Paper
Collection: Conference Papers

Title Predicting faculty membership - application of student choice Logit model
Author(s) Kopanidis, F
Year 2010
Conference name ANZMAC 2010: Doing More with Less
Conference location Christchurch, New Zealand
Conference dates 29 November - 1 December 2010
Proceedings title Proceedings of the 2010 Australian and New Zealand Marketing Academy (ANZMAC) Conference
Editor(s) Dr David Fortin and Dr Lucie K. Ozanne/ Dr Paul Ballantine and Dr Jörg Finsterwalder
Publisher University of Canterbury
Place of publication Christchurch, New Zealand
Start page 1
End page 8
Total pages 8
Abstract This study investigates the application of a student choice logit model to examine the role demographic, socioeconomic and psychological variables play in influencing undergraduate students' preferences towards choosing to study in particular disciplines. As a tool of analysis, logit regression has offered an innovative approach that allows the researcher to estimate the probability that a prospective student will apply to certain disciplines. The likelihood ratio of the model is highly significant (p =.000) suggesting choice behaviour can be effectively explained by a set of particular explanatory variables. The marketing application of the logit model in generating 'student types' and simulation analyses is discussed. These findings have implications for higher education institutions wishing to develop segmented marketing strategies to influence choice behaviour of prospective students.
Subjects Marketing Research Methodology
Copyright notice © 2010 University of Canterbury
ISBN 9780473178208
Versions
Version Filter Type
Access Statistics: 301 Abstract Views  -  Detailed Statistics
Created: Tue, 28 May 2013, 13:54:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us