1 / 11

Data Quality – Destinations of Leavers from Higher Education

Data Quality – Destinations of Leavers from Higher Education. Fiona Sandford Lucy Burrows. Destinations of Graduates: key facts. We have to achieve a response rate of: 80% for UK-domiciled full time 50% for all other EU students 80% for Research Council funded students

elle
Download Presentation

Data Quality – Destinations of Leavers from Higher Education

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Data Quality – Destinations of Leavers from Higher Education Fiona Sandford Lucy Burrows

  2. Destinations of Graduates: key facts • We have to achieve a response rate of: • 80% for UK-domiciled full time • 50% for all other EU students • 80% for Research Council funded students • We are not required (yet) to follow up non-EU graduates (but we do!) • Two collection periods – January and April • First by email ~ 40% response – then telephone

  3. Quiz 1The highest salaries last year were £500,000 and £270,000. Which courses? What are they doing? • £500,000 MSc Human Rights • £270,000 BSc International Relations • Advising Hedge Funds on emerging markets • Catwalk and Campaign Model (who deferred her job offer from I-Bank for a year)

  4. Destinations of Graduates: league tables Based only on UK first degree leavers – 592 graduates Graduate prospects = (n graduates in ‘graduate level work + n graduates in full time study/total replies) So ‘graduate level’ work is critical.

  5. Trader for Madison Tyler Assistant to Chief Executive Civitas Sales trainee Ondra Market trader Share dealer Financial Analyst Personal Assistant Executive Assistant Other (Social Science Researcher) Sales related occupation Other (Financial Analyst) Coding Quiz

  6. “Believe nothing, no matter where you read it, or who said it, no matter if I have said it, unless it agrees with your own reason and your own common sense.” Prince Gautama Siddharta, the founder of Buddhism, 563-483 B.C.

  7. Our data checks • Timescales • Set in stone,~6 months after they graduate with a defined date ‘what were you doing on…’ • Method • All responses checked for inconsistencies, logged to monitor response rates. Running checks on n responses per course, and unemployment status. All those reporting unemployed are followed up by a careers adviser • Coding and Inputting • All coding done by careers advisers, for their departments. Coding seminars run regularly (ish) • Returning data to HESA • Amending / checking contradictory details

  8. Good data costs • DLHE = 51MSLs for a Band 6 • + ~ £6500 for student callers • +  47 * 2.5 hours evening shifts of supervision by members of team. • + hours of coding by Careers Advisers (band 7) • + hours of time from ARD

  9. Three most important things • All staff understand the importance of the ‘political’ nature of the data • Common sense! • Data quality relies on good base data (and, for us, good contact information)

  10. Finally.. • DLHE return only as good as SITS data • We rely (heavily) on accurate contact information using LFY and Advance – any help from departments MOST gratefully received! • LSE post graduate internship scheme helped last year to get unemployment under 7% (beating Imperial for the first time) Please take more interns next year!!

More Related