Effects of in-class variation and student rank on the probability of withdrawal: cross-section and time-series analysis for UK university students
From individual-level data for nine entire cohorts of undergraduate students in UK universities, we estimate the probability that an individual will drop out of university during their first-year. We examine the 1984-85 to 1992-93 cohorts of students enrolling full-time for a three or four-year course, and focus on the sensitivity of the probability of withdrawal to the individual’s prior qualifications relative to those of the other students in their university course. We show not only that weaker students are more likely to withdraw but also that the extent of variation in prior qualifications within the student’s university degree course exerts an influence on the individual's probability of withdrawal in a way that varies with the individual’s own in-class rank.
(This abstract was borrowed from another version of this item.)
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Thomas, H.R. & Belfield, C.R. & Fielding, A., 1997. "The Consequences of Drop-Outs onthe Cost-Effectiveness of16-19 Colleges," Discussion Papers 97-15, Department of Economics, University of Birmingham.
- Jeremy P. Smith & Robin A. Naylor, 2001. "Dropping out of university: A statistical analysis of the probability of withdrawal for UK university students," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(2), pages 389-405.
- Audrey Light & Wayne Strayer, 2000. "Determinants of College Completion: School Quality or Student Ability?," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 299-332.
- Wiji Arulampalam & Robin A. Naylor & Jeremy P. Smith, 2004. "A hazard model of the probability of medical school drop-out in the UK," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 167(1), pages 157-178.
- Geraint Johnes & Robert McNabb, 2004. "Never Give up on the Good Times: Student Attrition in the UK," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(1), pages 23-47, 02.
- Smith, Jeremy & McKnight, Abigail & Naylor, Robin, 2000. "Graduate Employability: Policy and Performance in Higher Education in the UK," Economic Journal, Royal Economic Society, vol. 110(464), pages F382-411, June.
When requesting a correction, please mention this item's handle: RePEc:eee:ecoedu:v:24:y:2005:i:3:p:251-262. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Shamier, Wendy)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.