Planning and Statistics Using the University’s Statistical Digest PLANNING AND STATISTICS V.1 1 The University’s Statistical Digest Information and Training

V.1 1

Planning and StatisticsPlanning and StatisticsUsing the University’s Statistical Using the University’s Statistical DigestDigest

PLANNING AND STATISTICS

The University’s Statistical Digest

Information and Training Session

V.1 2



Overview:

• Background• Exploring the Data• NSS and TQI• The Statistical Digest• BO/Advizor Training• Questions and Feedback

V.1 3



Background

• Why are data collected and statistics produced– Good internal management– Information available for potential applicants– Quality Assurance

• Cooke Report – Information available in HEI’s• Qualifications on entry• Demographics• Progression• Destinations of graduates• Benchmarks and performance indicators• Completion records

• The Cooke report can be accessed at: http://www.hefce.ac.uk/pubs/hefce/2002/02_15.htm

V.1 4



Exploring the Data

• Data Collection• HESA and the HESA student file• HESA student file fields

– Examples:• Domicile• Qualent2

• http://www.hesa.ac.uk/manuals/04011/04011re.htm

• Code mappings• HESA aggregations

V.1 5



Domicile

• Description: The Domicile field is taken here to be the country code of the student's permanent or home address prior to entry to the programme of study. It is not necessarily the correspondence address of the student.

• It is not updated after the student has commenced their studies

• It would be updated if the student began a new programme of study after completing the first

V.1 6



Qualent2

• Description: Used to indicate the highest qualification on entry, not necessarily that applicable for entry to the programme of study.

• Mapping from university coding– The codes you see on BANNER are translated

to HESACODES so BANNER codes will differ from the codes in the Statistical Digest

• Aggregation of categories for analysis• Qualent2 will cross-reference to other fields like

those related to entry tariff. Using the fields together may give you a different view of the data

V.1 7



Benchmarking

• Benchmarking at Institutional level can be done by using– HESA publications, – HEFCE Performance Indicator data available from the

HEFCE website (http://www.hesa.ac.uk/pi/)• What use do staff make of PI’s – Usefulness, how they could be

improved?

– TQI data available from the HERO website– Newspaper League Tables

• Benchmarking at subject level is more difficult as the available data is more limited. That which is available will use HESA JACS codes

• Newspapers normally weight the data they use in league tables so that it is impossible to replicate their calculations.

• This limits the usefulness of the data for further analysis

V.1 8



National Outputs

• HESA publications– The most important in relation to the

Statistical Digest are “Students in Higher Education Institutions” and “Destinations of Leavers from Higher Education”

– “Higher Education management Statistics” is under review at present and is likely to become a powerful web-based utility for benchmarking against other institutions. That should go live in 2007-08

• http://www.hesa.ac.uk/products/pubs/home.htm

V.1 9



TQI and NSS

• Teaching Quality Information– http://www.tqi.ac.uk– Data sources

• HESA• NSS• DLHE

• National Student Survey• The aim of the National Student Survey (NSS) is to

gather feedback on the quality of students' courses, to help inform the choices of future applicants to higher education, and to contribute to public accountability.

V.1 10



Statistical Digest

• Meets requirements of Cooke report

• Analysis of University, Partner Colleges and Overseas Institutions

• School– Department

» Programme

• Published annually with 3 year comparison

• Analysis using institutional and HESA coding framework and based on HESA data• HESA data is processed by Planning and Statistics into “Digest” format solely in MS Excel

using pivot tables and macros• Digest is distributed to end users as MS Excel file on CD and in hard copy form • User analyses carried out through use of pivot tables

V.1 11



Business Objects

Advizor

New “Digest”

V.1 12



Advizor

Business Objects

•Access Advizor at the link below:

https://advizor.gre.ac.uk/adv/

V.1 13



Good Practice

• In order to maximise your productivity using Advizor it is important to know what you are going to query. Therefore before starting a series of analysis ensure you:– Know what analysis you want to complete

• Where you are going to start• What results you expect to see• What steps you are going to take to get your result

– Write down your selection criteria i.e. What population you want to use e.g.• Undergraduate students only• Full-Time Undergraduates• New Students….

V.1 14



QUIZ• How many home students in the department of

information systems (school of computing and maths) completed in 2005/06?

• Full-time?• Part-time ?

• For the following student type: undergraduate, university based, females, aged 21-29:– A. Which education and training department had the

greatest number of failures (fail, unknown, withdrawn)?

– B. For which year was the failure rate for this type of student in this dept. the worst?

• For which school in 05/06 did new first year students have the:– A. greatest percentage successful– B. greatest number successful– C. Repeat above for health and social care

departments

Advizor

Business Objects

Hints: •Always use std reg pop•Sucessful = continuing and complete•Unsuccessful = fail, withdraw and unknown

V.1 15



• How many home students in the department of information systems (school of computing and maths) completed in 2005/06?

• Full-time? 141 Students• Part-time ? 27 Students

• For the following student type: undergraduate, university based, females, aged 21-29:– A. Which education and training department had the

greatest number of unsuccessful students?– Education and Community Services (ECS) - 55 students– B. For which session was the failure rate for this type of

student in this dept. the worst?– 2005/2006 – 65 Students

• For which school in 05/06 did New, First Year students have the:– A. greatest percentage successful? MP (95.7%; 66

students)– B. greatest number successful? BU (1262 students; 90.9%)– C. Repeat above for health and social care departments– Percentage = FAM 89.2% (173 Students) ; Number = HED

419 Students (87.1%)

Advizor

Business Objects

Hints:

Successful = continuing and complete•Unsuccessful = fail, withdraw and unknown

V.1 16



Helpful Websites

• Training Materials– http://www.gre.ac.uk/pas/training.html

• Advizor Login Page– https://advizor.gre.ac.uk/adv/

• Business Objects Login Page– http://busobj:8085/wijsp/

• Off Campus Access (Proxy Server Set Up)– http://www.gre.ac.uk/intranet/helpdesk/

intranet/ie5.htm

V.1 17



Questions and Feedback

Contact:Mark EllulDesmond FortesEmail ID: em41 /fd31Tel: 8488 / 9641

Documents

Planning and Statistics Using the University’s Statistical Digest PLANNING AND STATISTICS V.1 1 The University’s Statistical Digest Information and Training