Students' perceptions of economics: Identifying demand for further study

Webber, Don J.; Mearman, Andrew

Abstract

Most university departments aspire to increase their quantity of students. The objective of this empirical study is to ascertain whether it is possible to identify students who would demand more economics study. Using data on student perceptions of economics and the application of logistic regression, two step autoclustering, K means clustering, analysis of variance and Tukey's honestly significant difference statistical techniques, we reveal distinct clusters of students, including a small cluster of students who appear to be more open to further study. © 2012 Taylor & Francis.

• Journal Article Type: Article
• Publication Date: Mar 1, 2012
• Deposit Date: Oct 27, 2011
• Journal: Applied Economics
• Print ISSN: 0003-6846
• Electronic ISSN: 1466-4283
• Publisher: Taylor & Francis (Routledge)
• Peer Reviewed: Peer Reviewed
• Volume: 44
• Issue: 9
• Pages: 1121-1132
• DOI: https://doi.org/10.1080/00036846.2010.537640
• Keywords: students, demand for economics, cluster analysis, regression
• Public URL: https://uwe-repository.worktribe.com/output/956311
• Publisher URL: http://dx.doi.org/10.1080/00036846.2010.537640
• Contract Date: Feb 14, 2016