Segmenting student markets with a student satisfaction and priorities survey

Borden, Victor M. H.

doi:10.1007/bf02207767

Cited by 65 publications

(56 citation statements)

References 4 publications

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“…The lowest scores were given for Profile 3 across all measures. As expected, subgroups obtained using the dependent variable ''I learned a lot in this course'' provided a better discrimination among effectiveness measures compared with the dependent variable end-of-semester grade because it was rated by students along with effectiveness measure (Borden 1995).…”

Section: Resultssupporting

confidence: 67%

“…A study comparing two clustering methods by Borden (1995) suggested CHAID analysis as a useful way to identify patterns on data.…”

Section: Methodsmentioning

confidence: 99%

“…Rather than obtaining relational variables on a population, use of segmentation procedures provides information about the existence and relationships of variables under homogenous subgroups. Borden (1995) investigated two hierarchical clustering methods and showed promising results regarding the use of clustering methods. Thomas and Galambos (2004) used a segmentation technique to investigate the relationship among several student characteristics, experiences, perceptions, and general satisfaction.…”

Section: Introductionmentioning

confidence: 99%

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Profiling Instructional Effectiveness to Reveal Its Relationship to Learning

Kalender

2013

Asia-Pacific Edu Res

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The purpose of the present study is to define instructional profiles and investigate the relationship between these profiles and learning indicators such as endof-semester grades and self-reported amount of learning. Instructional profiles were obtained using a segmentation method. Student ratings were used as indicators of instructional effectiveness. Results revealed that instructors who receive higher scores from students seem to be effective instructors in learning. However, instructors with high ratings from students did not receive high scores for all measures of instructional effectiveness. Effective instructors seem to have varying scores due to the imperfect relationship between instructional effectiveness and learning. It can be concluded that the definition of an effective instructor can vary across subgroups. For an instructor to be defined as effective, it is not necessary for them to receive higher scores for all measures. Low-rated aspects of effectiveness can be compensated for by showing high performance in other areas. Based on the results of the present study, instructional profiles or any other related traits should be investigated under subgroups that show differences.

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Section: Resultssupporting

confidence: 67%

“…A study comparing two clustering methods by Borden (1995) suggested CHAID analysis as a useful way to identify patterns on data.…”

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Profiling Instructional Effectiveness to Reveal Its Relationship to Learning

Kalender

2013

Asia-Pacific Edu Res

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“…For example, Browne et al (1998) found that global satisfaction within a university was driven by a student's assessment of course quality and other curriculum-related factors associated with a university. Borden (1995) found that student satisfaction is related to the match between student priorities and the campus environment (Elliott & Shin, 2002). After reviewing the literature, it was revealed that student satisfaction causes three behavioral intentions: (1) repurchase, (2) word of mouth, and (3) pay price premium.…”

Section: Introductionmentioning

confidence: 99%

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

Sharif

Shekarchizadeh

Djauhari

et al. 2012

MAS

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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.

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“…5,6 The focus of much early segmentation research was on revisiting previously established private sector techniques, such as geodemographics 7 or market surveys, 8 and discussing the challenges for their application in the public sector. However, more recent research in this area has moved away from operational feasibility into refi ning techniques, such as the creation of bespoke geodemographics 9 or deriving methods of better identifying the needs or desires of people within particular market segments.…”

Section: Introduction and Theoretical Frameworkmentioning

confidence: 99%

Data mining course choice sets and behaviours for target marketing of higher education

Singleton

2009

J Target Meas Anal Mark

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As the higher education (HE) sector has expanded, so has the variety of courses on offer, with applicants now choosing between greater numbers of potential options. Where applications to HE are administered through centralised admission services, applicants will often make multiple initial course choices, which offers an opportunity to examine systematic groupings of interest within course choice sets, and assess whether certain types of student are more likely to make concentrated or diffuse subject selections. Utilising a national database of an entire cohort ' s application behaviour, the empirical fi ndings presented in this article indicate that there are clusters of subjects that are applied for in combination, and that certain ethnic minority, socioeconomic groups and neighbourhood types are more likely to make more diffuse subject choices. This creates an information base of generalised course choice behaviours that HE institutions could utilise for targeted marketing, recruitment and selection activities, and additionally forms the basis of a decision support framework that could be implemented in a variety of online tools to help guide student courses.

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Segmenting student markets with a student satisfaction and priorities survey

Cited by 65 publications

References 4 publications

Profiling Instructional Effectiveness to Reveal Its Relationship to Learning

Profiling Instructional Effectiveness to Reveal Its Relationship to Learning

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

Data mining course choice sets and behaviours for target marketing of higher education

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