Higher education bursaries and performance: Annual test scores, drop out and degree outcomes

DOI

The project uses a unique dataset collected from UK higher education institutions comprised of individual-level data on undergraduate students from the UK and EU (i.e. those potentially eligible for bursaries), including the bursary they are awarded each year, academic outcomes, prior attainment and other demographic information. Collection consists of data from 10 English universities on bursary awards, student characteristics, and student outcomes over the period 2006-2011. The aim is to identify the impact of bursaries on the academic outcomes of students by exploiting variation in bursary rules across institutions. This will be achieved by comparing students with similar characteristics but receiving different levels of bursary due to the institution they are attending. To account for underlying differences across universities we will exploit changes in bursary eligibility rules within a university over time. The findings should be useful for universities and policy makers when considering the role of bursaries in improving student outcomes. Higher education bursaries and performance: annual test scores, drop out and degree outcomes Despite some £300m per year being spent on higher education bursaries in the UK, there remains no empirical research that examines the effectiveness of this element of financial aid as a means to improve student outcomes whilst at university. The aim of this project is to investigate the impact of bursaries on students’ academic outcomes – including annual test results, completion rates and degree classification.

All universities in England where contacted, requesting individual level data on undergraduates, on the following: Student-level data for all UK/EU full-time undergraduate students (i.e. only those eligible for bursaries), with, for each undergraduate: • Their year of entry (from 2006 onwards - or any previous years, if available) • Their A level grades (or other qualifications such as BTEC, HND etc) on entry (with subject of study, if possible) • The subject of degree student studying • Amount of bursary awarded each year, including zeros (i.e. a report for every student, whether they got a bursary or not) • Their annual examination/module scores (by subject if possible) • Their final degree classification • Whether dropped out, and year of drop out • Basic demographics such as age at point of entry, gender, ethnicity, SES, parental income and any other demographic information available • Outline of means-testing rules for bursary awards (as detailed as possible - i.e. parents income>£40k = no bursary; parents income>£10k & <£15k=£2000 bursary etc) each year. 22 universities provided data. 17 are useable.

Identifier
DOI https://doi.org/10.5255/UKDA-SN-852145
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=0f55552ce5f0667fbbdf6ff41f53182a7aad9599f6eabd1184d4c823147e96df
Provenance
Creator Wyness, G, UCL Institute of Education
Publisher UK Data Service
Publication Year 2016
Funding Reference Economic and Social Research Council
Rights Gillian Wyness, UCL Institute of Education
OpenAccess true
Representation
Language English
Resource Type Numeric
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage England; United Kingdom; England