This paper compares overall student satisfaction within and across disciplines in the instruction process of introductory postgraduate economic statistics with a highly heterogenous student clientele employing non-parametric and multivariate analysis. The analysis finds that product differentiation is a sine qua non for a heterogeneous clientele. Evidence, based on student perceptions, supports the hypothesis that the overall rating in the statistics course compares favourably with other economics courses and is on a par with non-economics courses. It underscores the vibrant reality that student diversity has changed the university environment. Effective, relevant and attractive programmes require understanding this transition. The paper’s novelty lies in its use of a range of analytical frameworks demonstrating that by explicitly addressing the heterogeneous character of student needs in the instruction process, even in quite difficult courses, overall rating can be at least on a par with other courses within and between disciplines.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
Publisher Info
Article provided by Queensland University of Technology (QUT), School of Economics and Finance in its journal Economic Analysis and Policy (EAP).
Volume (Year): 37 (2007) Issue (Month): 2 (September) Pages: 187-204 Download reference. The following formats are available: HTML
(with abstract),
plain text
(with abstract),
BibTeX,
RIS (EndNote, RefMan, ProCite),
ReDIF
Find related papers by JEL classification: A23 - General Economics and Teaching - - Economic Education and Teaching of Economics - - - Graduate
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.: