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  5. Analysis of Irish third-level college applications data
 
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Analysis of Irish third-level college applications data

Author(s)
Gormley, Isobel Claire  
Murphy, Thomas Brendan  
Uri
http://hdl.handle.net/10197/7106
Date Issued
2006-03
Date Available
2015-09-25T11:30:36Z
Abstract
The Irish college admissions system involves prospective students listing up to 10 courses in order of preference on their application. Places in third-level educational institutions are subsequently offered to the applicants on the basis of both their preferences and their final second-level examination results. The college applications system is a large area of public debate in Ireland. Detractors suggest that the process creates artificial demand for 'high profile' courses, causing applicants to ignore their vocational callings. Supporters argue that the system is impartial and transparent. The Irish college degree applications data from the year 2000 are analysed by using mixture models based on ranked data models to investigate the types of application behaviour that are exhibited by college applicants. The results of this analysis show that applicants form groups according to both the discipline and the geographical location of their course choices. In addition, there is evidence of the suggested 'points race' for high profile courses. Finally, gender emerges as an influential factor when studying course choice behaviour.
Sponsorship
Irish Research Council for Science, Engineering and Technology
Type of Material
Journal Article
Publisher
Wiley
Journal
Journal of the Royal Statistical Society: Series A (Statistics in Society)
Volume
169
Issue
2
Start Page
361
End Page
379
Copyright (Published Version)
2006 Royal Statistical Society
Subjects

College course choice...

EM algorithm

Higher education

Mixture models

Ranked data

DOI
10.1111/j.1467-985X.2006.00412.x
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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gormleymurphyCAO.pdf

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Owning collection
Mathematics and Statistics Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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