Logistic regression for determining factors influencing students’ perception of reputation of an ODL institution
In today’s competitive higher education environment, an institution needs to be pro-active in generating higher revenue and also to remain ahead of its competitors. There are basically two ways to increase revenue, that is, to increase new intakes and to retain a maximum number of existing s...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2008
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Subjects: | |
Online Access: | http://library.oum.edu.my/repository/397/1/logistic.pdf http://library.oum.edu.my/repository/397/ |
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Institution: | Open University Malaysia |
Summary: | In today’s competitive higher education environment, an institution needs to be pro-active
in generating higher revenue and also to remain ahead of its competitors. There are
basically two ways to increase revenue, that is, to increase new intakes and to retain a
maximum number of existing students. In the case of the former, one of the best
strategies to adopt is to utilise the institution’s own students to attract others to enroll. The
strategy will be successful if the students believe very strongly in the reputation of their
university. The objective of this study is to determine the satisfaction factors that
contribute positively to students’ perception of reputation in OUM, the first ODL
institution in Malaysia. The study employs logistic regression technique. Based on a
sample of 2,662 students in 2007, the study found that the significant predictors for
institution’s reputation were “Teaching and Learning”, “Learner Centredness” and
“Student Affairs Management”; the odds ratio indicated that “Teaching and Learning”
has the highest impact on the outcome variable, followed by “Learner-Centredness” and
“Student Affairs Management”. However, the logistic regression model adopted in this
study explained only 19.0% of the variation in the outcome variable, indicating that there
is a need to identify other variables in future research in this area. (Authors' abstract)
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