Journal
INTERNATIONAL REVIEW OF ECONOMICS EDUCATION
Volume 24, Issue -, Pages 18-27Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.iree.2016.11.001
Keywords
Taught postgraduate; Module choice; Student's preferences; Multi-profile best-worst scaling; Discrete mixtures model; Attribute non-attendance
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In this study, we investigate Scottish postgraduate economics students' preferences for module design. Using amulti-profile best-worst scaling survey, we find that students have clear preferences on how they wish their modules to be delivered, taught and assessed. Furthermore, using a discrete mixtures modelling approach we explain the heterogeneous nature of preferences for the module attributes and the students' lexicographic preference orderings. We show how failing to address this leads to erroneous results and limits the ability to derive reliable prediction. The findings in this study should appeal to university staff involved in the design of postgraduate (as well as undergraduate) courses as it should help them better establish a coherent learning experience for students, through which students can attain their full academic potential. (C) 2016 Elsevier Ltd. All rights reserved.
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