Teaching Excellence and Student Outcomes Framework (TEF ...€¦ · ,QLWLDOK \SRWKHVLVZ LWKD...

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Teaching Excellence and Student Outcomes Framework (TEF): Findings from the subject-level pilot 2018-19 Annex F: Analysis of indicative ratings This report was completed in autumn 2019 following the conclusion of the pilot. © Office for Students 2021 Publication date 21 January 2021

Transcript of Teaching Excellence and Student Outcomes Framework (TEF ...€¦ · ,QLWLDOK \SRWKHVLVZ LWKD...

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Teaching Excellence and Student Outcomes Framework (TEF): Findings from the subject-level pilot 2018-19

Annex F: Analysis of indicative ratings

This report was completed in autumn 2019 following the

conclusion of the pilot.

© Office for Students 2021

Publication date 21 January 2021

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Contents

Introduction 3

Provider-level charts 4 Providers with subjects concentrated in a single rating 19 Providers with subjects in the same rating as the provider-level rating 20

Subject-level charts 22 Subject-level ratings – numbers of subjects 36

Interdisciplinarity 39

Reportable metric types and data sources 42

Characteristics 50

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Introduction

This annex provides a complete set of the OfS’s analysis of the indicative ratings that were

generated in the TEF second subject-level pilot, summarised in the section ‘Summary ratings and

analysis’ of the main report ‘Teaching Excellence and Student Outcomes Framework (TEF):

Findings from the subject-level pilot 2018-19’.1 Page numbers below the charts in this document

refer to pages in the main report.

The information has been anonymised, de-identified and aggregated in accordance with OfS data

retention and publication policies.

Readers should exercise caution in interpreting these results given that any analysis can provide

only limited confidence in the predictability of patterns observed. It is not possible to infer that the

distributions shown here would be replicated in a full-scale assessment due to the small and

selective samples included within the pilot. Readers should also note that the underpinning

statistical elements of the methodology have been reviewed by the ONS as part of the independent

review of the TEF. This is likely to lead to future revisions to the statistical methodology to improve

robustness.

In this annex, higher education providers are referred to as ‘providers’ throughout.

1 See www.officeforstudents.org.uk/publications/tef-findings-from-the-second-subject-level-pilot-2018-19/.

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Provider-level charts

The following charts summarise the outcomes arrived at through provider-level assessment.

Final provider-level ratings

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Provider-level initial hypothesis (without absolute values)

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ro i ers

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Provider-level initial hypothesis (with absolute value markers)

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nitia h pothesis ith a so te a es

ro i ers

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Movement from initial hypothesis to final provider-level rating

This chart illustrates the journey of each provider rated in the pilot from its initial hypothesis to a

final rating. For example, it shows that of the 17 providers that had an initial hypothesis of Bronze,

all 17 remained at Bronze when absolute values were accounted for, but ultimately 4 providers

moved up to a final rating of Silver while 13 remained at Bronze following the holistic judgement of

the panel.

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Final provider-level ratings by provider type

For the purpose of this analysis we have categorised providers into three broad groups. These are

not formal categories used by the OfS for any other purpose:

a. Further education colleges (FECs)

Providers with more than 10 subjects assessed in the pilot (excluding FECs), broadly

comprising large multi-faculty universities

b. Providers with fewer than 10 subjects assessed in the pilot (excluding FECs), broadly

comprisin sma er an specia ist pro i ers, an those former referre to as ‘a ternati e

pro i ers’.

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Final provider-level ratings by provider size

Provider size is classified as the contextual Full Person Equivalent (FPE) population (headcount) of

students in the majority mode.

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Differences between a provider’s final rating and its subject ratings

For all providers that received each final rating, this chart shows the proportion of their subjects

which were given each rating. O tcomes of ‘no ratin ’ have been excluded.

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S ect fina ratin ron e S ect fina ratin Si er

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Differences between a provider’s final rating and its aspect ratings

This chart shows how provider-level overall ratings compare with the ratings for each of the

aspects of quality (teaching quality, learning environment, student outcomes). ‘Moved up’ means

that the final rating is higher than the rating of the aspect in question. O tcomes of ‘no ratin ’ ha e

been excluded.

St ent o tcomes

earnin en ironment

eachin a it

ina ratin mo ement from aspect ratin o e o n a ho e ra e or more

ina ratin mo ement from aspect ratin o e o n ha f a ra e

ina ratin mo ement from aspect ratin o ifference

ina ratin mo ement from aspect ratin o e p ha f a ra e

ina ratin mo ement from aspect ratin o e p a ho e ra e or more

ercenta e of pro i ers

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Provider-level final ratings by majority mode of study

time art time

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Differences between a provider’s final rating and its initial hypothesis by provider

type

his chart sho s ho each pro i er’s o era ratin compares with its initial hypothesis. ‘Moved up’

means that the fina ratin as hi her than the initia h pothesis. O tcomes of ‘no ratin ’ have

been excluded.

s ects or more ro i er

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ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of pro i ers

pro i ers

pro i ers

pro i ers

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Differences between a provider’s final rating and its initial hypothesis – excluding

movement from a borderline rating to an adjacent rating

This chart is the same as the previous chart, but movement up or down by half a grade has been

put into the same category as no movement. For comparison, the provider-level TEF movement

from initial hypothesis is shown in the table below:

Pilot movement from initial

hypothesis

Provider-level TEF movement

from initial hypothesis

Moved down 5% 9%

No movement* 75% 71%

Moved up 20% 20%

* ‘ o mo ement’ for pi ot means mo e ha f a ra e or ess.

s ects or more ro i er

s ects n er ro i er

rther e cation co e e

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e ha f a ra e or ess

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of pro i ers

pro i ers

pro i ers

pro i ers

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he fo o in three charts present ‘movement from initial hypothesis to final provider- e e ratin ’

for the three cate ories of ‘provider type’ se in the report.

Movement from initial hypothesis to final rating – Further education colleges (FECs)

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Movement from initial hypothesis to final rating – Providers with fewer than 10

subjects

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Movement from initial hypothesis to final rating – Providers with 10 or more

subjects

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Differences between provider ratings and their initial hypothesis ratings by provider

size

As a o e, this chart sho s ho each pro i er’s o era ratin compares ith its initia h pothesis.

‘Moved up’ means that the final rating was higher than the initial hypothesis. This chart reports the

outcomes by provider size.

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

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ercenta e of pro i ers

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Providers with subjects concentrated in a single rating

All (45 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) concentrated in a single rating.

>50% >66% >75%

Number of providers with this proportion of

students in a single rating 38 23 20

Number of providers with this proportion of

subjects in a single rating 35 19 11

Further education colleges (FECs) (12 providers)

The following table shows the number of FECs with more than a certain proportion of their subjects

or students (FPE in the majority mode) concentrated in a single rating.

>50% >66% >75%

Number of providers with this proportion of

students in a single rating 12 8 7

Number of providers with this proportion of

subjects in a single rating 9 7 5

Providers with under 10 subjects (10 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) concentrated in a single rating.

>50% >66% >75%

Number of providers with this proportion of

students in a single rating 9 9 8

Number of providers with this proportion of

subjects in a single rating 7 5 4

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Providers with 10 subjects or more (23 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) concentrated in a single rating.

>50% >66% >75%

Number of providers with this proportion of

students in a single rating 17 6 5

Number of providers with this proportion of

subjects in a single rating 19 7 2

Providers with subjects in the same rating as the provider-level rating

All (45 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) in the same rating as the provider-level rating.

>25% >50% >75%

Number of providers with this proportion of

students in the same rating 39 29 17

Number of providers with this proportion of

subjects in the same rating 43 27 11

Further education colleges (FECs) (12 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) in the same rating as the provider-level rating.

>25% >50% >75%

Number of providers with this proportion of

students in the same rating 11 10 7

Number of providers with this proportion of

subjects in the same rating 12 9 5

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Providers with under 10 subjects (10 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) in the same rating as the provider-level rating.

>25% >50% >75%

Number of providers with this proportion of

students in the same rating 6 6 5

Number of providers with this proportion of

subjects in the same rating 9 5 4

Providers with 10 subjects or more (23 providers)

The following table shows the number of providers with more than a certain proportion of their

subjects or students (FPE in the majority mode) in the same rating as the provider-level rating.

>25% >50% >75%

Number of providers with this proportion of

students in the same rating 22 13 5

Number of providers with this proportion of

subjects in the same rating 22 13 2

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Subject-level charts

The following charts summarise the outcomes arrived at through subject-level assessment.

Subject-level final ratings

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S ects

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Subject-level initial hypotheses (without absolute values)

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S ects

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Subject-level initial hypotheses (with absolute value markers)

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S ects

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Movement from initial hypothesis to final subject-level rating

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Subject-level ratings by provider type

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Subject-level ratings by provider size

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Subject-level ratings by majority mode

time art

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Subject-level ratings by panel

This chart shows the ratings arrived at by each subject panel.

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Subject-level ratings by subject size

Subject size is based on the full person equivalent (FPE) of students in the majority mode. A

minimum of 20 was required for inclusion in the pilot.

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Differences between final subject-level ratings and their aspect ratings

This chart shows how subject-level overall ratings compare with the ratings for each of the aspects

of quality (teaching quality, learning environment, student outcomes). The above chart includes

only those subjects whose aspects were rated in the pilot. This represents 317 of 630 subjects.

‘Moved up’ means that the final rating was higher than the rating given to that aspect of quality.

St ent o tcomes

earnin en ironment

eachin a it

ina ratin mo ement from aspect ratin o e o n a ho e ra e or more

ina ratin mo ement from aspect ratin o e o n ha f a ra e

ina ratin mo ement from aspect ratin o ifference

ina ratin mo ement from aspect ratin o e p ha f a ra e

ina ratin mo ement from aspect ratin o e p a ho e ra e or more

ercenta e of s ects

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Differences between subject-level ratings and their initial hypotheses by provider

type

s ects or more ro i er

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ercenta e of s ects

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s ects

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Differences between subject-level ratings and their initial hypotheses by provider

size

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

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ercenta e of s ects

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s ects

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Differences between subject-level ratings and their initial hypotheses by subject

size

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of s ects

S ect si e st ents in m

a orit m

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Differences between subject-level ratings and their initial hypotheses by panel

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Subject-level ratings – numbers of subjects

Initial hypothesis with absolute values Final rating

Panel Subject Total Bronze Silver/

Bronze

Silver Gold/

Silver

Gold Bronze Silver Gold No

rating

Arts +

Humanities

Combined and general

studies

2 S S S S S S S S S

Creative arts and design 32 9 4 17 1 1 10 15 6 1

English studies 25 3 5 14 2 1 5 16 4 0

History and archaeology 20 3 2 14 1 0 3 13 4 0

Languages and area

studies

12 1 2 8 1 0 2 10 0 0

Media, journalism and

communications

22 6 2 10 3 1 8 9 4 1

Performing arts 31 9 5 11 3 3 10 13 6 2

Philosophy and religious

studies

11 S S S S S S S S S

Business and

Law +

Education and

Social Care

Business and

management

36 6 4 17 2 7 12 14 10 0

Education and teaching 25 9 2 11 2 1 7 14 2 2

Health and social care 26 5 9 8 3 1 9 16 1 0

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Initial hypothesis with absolute values Final rating

Law 22 3 1 15 3 0 5 12 5 0

Medical

Sciences +

Nursing and

Allied Health

Subjects

Allied health 26 2 8 10 4 2 7 11 4 4

Medical sciences 17 1 5 6 3 2 5 6 5 1

Medicine and dentistry 8 S S S S S S S S S

Nursing and midwifery 17 2 7 6 1 1 6 5 4 2

Pharmacology,

toxicology and

pharmacy

12 0 4 7 1 0 3 4 5 0

Psychology 26 6 5 13 1 1 10 11 3 2

Sport and exercise

sciences

19 5 2 12 0 0 7 7 2 3

Veterinary sciences 3 S S S S S S S S S

Natural and

Built

Environment +

Social

Sciences

Agriculture, food and

related studies

11 2 0 6 1 2 5 4 2 0

Architecture, building

and planning

22 2 3 13 4 0 3 10 5 4

Economics 15 0 1 12 2 0 3 6 4 2

Geography, earth and

environmental studies

13 1 2 10 0 0 0 10 1 2

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Initial hypothesis with absolute values Final rating

Politics 16 2 2 11 1 0 4 7 4 1

Sociology, social policy

and anthropology

23 4 6 12 1 0 7 13 3 0

Natural

Sciences +

Engineering

and

Technology

Biosciences 21 5 3 9 3 1 5 9 6 1

Chemistry 13 0 1 12 0 0 1 8 4 0

Computing 33 8 5 12 5 3 11 13 8 1

Engineering 29 4 6 16 2 1 6 13 5 5

General, applied and

forensic sciences

12 0 1 10 1 0 0 5 4 3

Materials and

technology

9 0 1 5 1 2 1 4 2 2

Mathematical sciences 14 1 2 11 0 0 3 8 1 2

Physics and astronomy 7 1 1 4 0 1 1 3 3 0

Note: Some results with fewer than 5 instances of a subject have been suppressed where it ma ha e een possi e to i entif another pro i er’s

rating. In order to prevent calculation of these missing values, the next smallest subject within that panel has also been suppressed. These values are

mar e ith ‘S’.

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Interdisciplinarity

Subject-level final ratings by degree of interdisciplinarity

This chart shows the ratings awarded to subjects by number of ‘split subjects’, i.e. the number of

other subjects that data within an assessed subject was also reported to.

Subjects split with three or more other subjects have been aggregated into the ‘ or more’

category. The maximum number of splits was 18.

or more

one

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

m er of sp it s ects

s ects

s ects

s ects

s ects

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40

Subject-level interdisciplinarity by panel

This chart shows the ratings arrived at by each subject panel, for subjects with different levels of

interdisciplinarity. Subjects with no data splitting, and subjects where data was split with at least

one other subject, are reported separately.

s ects o

s ects es

s ects o

s ects es

s ects o

s ects es

s ects o

s ects es

s ects o

s ects es

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

S ects are inter iscip inar

Arts

manities

siness

an a

cation an

socia care

e ica sciences

rsin an

a ie hea th

s ects

at ra an

i t en ironment

Socia sciences

at ra sciences

n ineerin an

techno o

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41

Subject-level movement from initial hypothesis by degree of interdisciplinarity

or more

one

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of s ects

m er of sp it s ects

s ects

s ects

s ects

s ects

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42

Reportable metric types and data sources

Final ratings by number of reportable metric types – subjects

The three potential reportable metric types are National Student Survey (NSS), Higher Education

Statistics Agency (HESA) or Individualised Learner Record (ILR), and Employment (deemed

reportable if either Destination of Leavers from Higher Education (DLHE) or Longitudinal Education

Outcomes (LEO) data is available).

The minimum threshold for a subject to be assessed in the pilot was two reportable metric types.

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

m er of reporta e m

etric t pes

in the m

a or mo e

s ects

s ects

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43

Final ratings by those with/without Longitudinal Education Outcomes (LEO) data

o

es

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

O ata for at east one ear

s ects

s ects

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44

Provider-level awards by number of data sources (DLHE, HESA/ILR, NSS, LEO)

There are four potentially reportable metric sources:

• National Student Survey (NSS)

• Higher Education Statistics Agency (HESA)/Individualised Learner Record (ILR)

• Destination of Leavers from Higher Education (DLHE)

• Longitudinal Education Outcomes (LEO).

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

m er of ata so rces

ro i ers

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45

Subject-level ratings by number of data sources (DLHE, HESA/ILR, NSS, LEO):

Chart 15, p90

There are four potentially reportable metric sources:

• National Student Survey (NSS)

• Higher Education Statistics Agency (HESA)/Individualised Learner Record (ILR)

• Destination of Leavers from Higher Education (DLHE)

• Longitudinal Education Outcomes (LEO).

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

m er of ata so rces

s ects

s ects

s ects

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46

Subject-level ratings by number of data sources against provider type

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47

Movement from initial hypothesis by reportable metric types

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of s ects

m er of reporta e m

etric t pes

in the m

a or mo e

s ects

s ects

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48

Movement from initial hypothesis by those with/without Longitudinal Education

Outcomes (LEO) data

o

es

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of pro i ers

O ata for at east one ear

s ects

s ects

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49

Movement from initial hypothesis by number of data sources (DLHE, NSS,

HESA/ILR, LEO)

There are four potentially reportable metric sources:

• National Student Survey (NSS)

• Higher Education Statistics Agency (HESA)/Individualised Learner Record (ILR)

• Destination of Leavers from Higher Education (DLHE)

• Longitudinal Education Outcomes (LEO).

ifference from initia h pothesis o e o n a ho e ra e or more

ifference from initia h pothesis o e o n ha f a ra e

ifference from initia h pothesis o ifference

ifference from initia h pothesis o e p ha f a ra e

ifference from initia h pothesis o e p a ho e ra e or more

ercenta e of pro i ers

m er of ata so rces

s ects

s ects

s ects

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50

Characteristics

The following charts present the subject- e e ratin s arri e at in this ear’s pi ot the proportion

of students in those subjects with different personal characteristics.

It should be noted that these charts do not control for other factors likely to have an impact on a

s ect’s fina ratin (such as provider type or subject area), but which may closely correlate to the

proportion of students with certain characteristics. As such, no causal relationship should be

inferred from any patterns observed. A more detailed statistical analysis of these factors, which

seeks to determine if they are significant predictors of TEF performance in their own right, has

been undertaken as part of Annex G: Logistic regression models.2

For each characteristic in this section, the subjects have been divided into quintiles by:

1. Working out the proportion of students (FPE in the majority mode) in each subject with the

characteristic

2. Ranking the subjects from lowest to highest based on this proportion

3. Dividing the subjects into five quintiles weighted by population (FPE in the majority mode) –

this means that approximately 20 per cent of students are in each quintile.

2 See www.officeforstudents.org.uk/publications/tef-findings-from-the-second-subject-level-pilot-2018-19/.

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51

Subject-level ratings by level of study

This chart is based on the proportion of students with first-class degree status (other categories

inc e ‘Other undergraduate (UG)’ an ‘UG with postgraduate (PG) components’).

Quintile 1 contains subjects which have the lowest proportion of students with first-class degree

status.

ina ratin ron e

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inti e proportion of first e ree st ents

s ects

s ects

s ects

s ects

s ects

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52

Subject-level ratings by ethnicity (proportion of black, Asian and minority ethnic

students)

This chart is based on the proportion of students with minority ethnicities (black, Asian, other

minority ethnicity) compared to all those with known ethnicities. Quintile 1 subjects have the lowest

proportions of minority ethnic students.

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

inti e proportion of ethnic m

inorit st ents

s ects

s ects

s ects

s ects

s ects

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53

Subject-level ratings by disability (proportion of students with declared disability)

This chart is based on the proportion of students with a declared disability. Quintile 1 subjects have

the lowest proportions of disabled students.

ina ratin ron e

ina ratin Si er

ina ratin o

ina ratin o ratin

ercenta e of s ects

inti e proportion of isa e st ents

s ects

s ects

s ects

s ects

s ects

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54

Subject-level ratings by sex (proportion of female students)

This chart is based on the proportion of female students (of all those who reported their sex).

Quintile 1 subjects have the lowest proportions of female students.

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ercenta e of s ects

inti e proportion of fema e st ents

s ects

s ects

s ects

s ects

s ects

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55

Subject-level ratings by age (proportion of mature students)

This chart is based on the proportion of mature students (age 21+). Quintile 1 subjects have the

lowest proportions of mature students.

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ercenta e of s ects

inti e proportion of mat re st ents

s ects

s ects

s ects

s ects

s ects

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56

Subject-level ratings by deprivation (proportion of students in Index of Multiple

Deprivation (IMD) quintiles 1 and 2)

This chart is based on the proportion of students in IMD quintiles 1 and 2. Quintile 1 subjects (in

this chart) have the lowest proportions of Q1 and Q2 students.

ina ratin ron e

ina ratin Si er

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ina ratin o ratin

ercenta e of s ects

inti e proportion of

st ents

s ects

s ects

s ects

s ects

s ects

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57

Subject-level ratings by participation of local areas (POLAR) (proportion of students

in POLAR4 quintiles 1 and 2)

This chart is based on the proportion of students in POLAR4 quintiles 1 and 2. Quintile 1 subjects

(in this chart) have the lowest proportions of Q1 and Q2 students.

ina ratin ron e

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ina ratin o ratin

ercenta e of s ects

inti e proportion of O A

st ents

s ects

s ects

s ects

s ects

s ects

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Subject-level ratings by proportion of local students

This chart is based on the proportion of students who are either local or distance learning. Quintile

1 subjects have the lowest proportions of local students.

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ina ratin Si er

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ina ratin o ratin

ercenta e of s ects

inti e proportion of oca st ents

s ects

s ects

s ects

s ects

s ects

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Subject-level ratings by proportion of low entry tariff students

This chart is based on the proportion of students who entered with low tariff points. Quintile 1

subjects have the lowest proportions of low tariff students.

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ercenta e of s ects

inti e proportion of o tariff st ents

s ects

s ects

s ects

s ects

s ects

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Subject-level ratings by proportion of UK domiciled students

This chart is based on the proportion of students with domicile in the UK (England, Northern

Ireland, Scotland, Wales). Quintile 1 subjects have the lowest proportions of UK domiciled

students.

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inti e proportion of omici e st ents

s ects

s ects

s ects

s ects

s ects

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© The Office for Students copyright 2020

This publication is available under the Open Government Licence 3.0 except where it indicates that

the copyright for images or text is owned elsewhere.

www.nationalarchives.gov.uk/doc/open-government-licence/version/3/