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The Perpetual Student: Modelling Duration of Undergraduate Studies based on Lifetime-type educational data

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Kalamatianou, A and McClean, SI (2003) The Perpetual Student: Modelling Duration of Undergraduate Studies based on Lifetime-type educational data. Lifetime Data Analysis, 9 (4). pp. 311-330. [Journal article]

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URL: http://www.ingentaconnect.com/content/klu/lida/2003/00000009/00000004/05254102

DOI: 10.1023/B:LIDA.0000012419.98989.d4

Abstract

It is important to educational planners to estimate the likelihood and time-scale of graduation of students enrolled on a curriculum. The particular case we are concerned with, emerges when studies are not completed in the prescribed interval of time. Under these circumstances we use a framework of survival analysis applied to lifetime-type educational data to examine the distribution of duration of undergraduate studies for 10,313 students, enrolled in a Greek university during ten consecutive academic years. Non-parametric and parametric survival models have been developed for handling this distribution as well as a modified procedure for testing goodness-of fit of the models. Data censoring was taken into account in the statistical analysis and the problems of thresholding of graduation and of perpetual students are also addressed. We found that the proposed parametric model adequately describes the empirical distribution provided by non-parametric estimation. We also found significant difference between duration of studies of men and women students. The proposed methodology could be useful to analyse data from any other type and level of education or general lifetime data with similar characteristics.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:7562
Deposited By:Professor Sally McClean
Deposited On:12 Apr 2010 16:01
Last Modified:12 Apr 2010 16:01

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