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Testing multiple authors

HESA was tasked with developing a methodology for collecting graduate outcomes data that was efficient, future-proof, fit for purpose, and supportive of legislation. This methodology also needed to provide us with rich and robust outcomes data.

Open centralisation

A key aim of the NewDLHE review is ensuring that we gather data which is perceived as objectively impartial and of a high standard. As part of the review, we have undertaken an Official Statistics appraisal of DLHE using the UK Statistics Authority’s toolkit (available here). The outcome of this was that the current DLHE survey does not meet the criteria for comprehensive assurance. Having explored various options around the design of the survey, we have concluded that recommending a form of open centralisation for the NewDLHE model will best achieve our goals.

Our work on the design phase has taught us that the term ‘centralisation’ is broad and can refer to many points on a spectrum between full-centralisation and full-devolution. In the sector at the moment, there are many approaches taken to survey processes, including the current DLHE, Longitudinal DLHE, DLHE at FE colleges, the Postgraduate Research and Postgraduate Taught Experience Surveys, the National Student Survey and the UK Engagement Survey.

Our proposed model of open centralisation can be demonstrated by comparing its positioning with existing surveys in the sector.

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Dan Cook

Dan Cook

Head of Collections Development
Rachel Hewitt