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Correlation Network Analysis of International Postgraduate Students’ Satisfaction in Top Malaysian Universities: A Robust Approach

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  • Shamshuritawati Sharif

Abstract

This paper deals with an analysis of correlation network among the satisfaction characteristics evaluated by the international students of top five Malaysian universities. The method developed in econophysics has been used to filter the information contained in a correlation structure. In this paper, we present a correlation network analysis where the correlation structure is determined based on robust approach. This approach is used to have a better understanding of foreign students’ satisfaction which will be very useful for Malaysian universities. Based on our proposed centrality measure, interestingly, the result demonstrates that the item “pay premium price†is the most influential characteristic that reflects to the highest degree of satisfaction for the international students. The university senior management would benefit by knowing this result in order to gain competitive advantage over other universities. Practical implications are provided accordingly.

Suggested Citation

  • Shamshuritawati Sharif, 2012. "Correlation Network Analysis of International Postgraduate Students’ Satisfaction in Top Malaysian Universities: A Robust Approach," Modern Applied Science, Canadian Center of Science and Education, vol. 6(12), pages 1-91, December.
    • Handle: RePEc:ibn:masjnl:v:6:y:2012:i:12:p:91
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    References listed on IDEAS

    as
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    3. Beverly A. Browne & Dennis O. Kaldenberg & William G. Browne & Daniel J. Brown, 1998. "Student as Customer: Factors Affecting Satisfaction and Assessments of Institutional Quality," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 8(3), pages 1-14, July.
    4. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    5. Sieczka, Paweł & Hołyst, Janusz A., 2009. "Correlations in commodity markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(8), pages 1621-1630.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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