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The value of a non-financial job quality measure in exploring graduate outcomes - Summary

This briefing provides an overview of a new non-monetary job quality composite measure developed by the Higher Education Statistics Agency (HESA) using the Graduate Outcomes survey.

Over time, we envisage introducing this measure into our official statistics publications to ensure that our outputs continue to remain valuable and relevant to users at a time of increasing interest in job quality.

The full technical report associated with this summary can be accessed via links on the side of this webpage.

Graph showing an upward trend. Why does job quality matter?

Decent work for all is one of the objectives set out in the 2015 Sustainable Development Goals outlined by the United Nations, as we highlight below. As a member state, this target also applies to the UK.

By 2030, achieve full and productive employment and decent work for all men and women, including for young people and persons with disabilities.

Naturally, this has led to a debate on what we mean by terms such as ‘decent work’ and ‘job quality’.

Three hands interlocking. How do we define 'job quality'?

The general consensus that appears to be emerging in the literature is that job quality relates to those aspects of an individual’s work that influence their wellbeing.

In the UK, the Measuring Job Quality Working Group was assigned the task of deciding what indicators should be used to understand job quality.

What are the agreed job quality indicators for the UK?

The group concluded that data on job quality should be covered by eighteen indicators, which themselves sit within seven broad dimensions.

1.

Terms of employment (job security, minimum guaranteed hours, underemployment)

Shaking hands in greeting.
2. Pay and benefits (actual pay, satisfaction with pay) A £1 coin.
3. Health, safety and psychosocial wellbeing (physical injury, mental health) A heart supported by hands.
4. Job design and nature of work (use of skills, control, opportunities for progression, sense of purpose) A ruler and a pencil.
5. Social support and cohesion (peer support, line manager relationship) A large group of people.
6. Voice and representation (trade union membership, employee information, employee involvement) The human voice.
7. Work-life balance (over-employment, paid and unpaid overtime) A briefcase and house resting equally on a set of scales.

How have we historically explored graduate job quality in the UK?

The examination of graduate destinations has focused predominantly on two outcomes (only one of which is a marker of job quality based on the agreed approach).

These are earnings and whether they are in ‘highly skilled’ employment (i.e. in a professional or managerial job).

According to the framework developed by the Measuring Job Quality Working Group, being in ‘highly skilled’ employment is not an indicator of job quality, though it has been assumed that these are the jobs which align with graduate progression aspirations and use their skills (both markers of job quality).

However, the validity of this presumption has not been investigated through the use of data.

Elements of a working day: a computer, conversation and a clock. Why shouldn’t we only use earnings to understand graduate outcomes/job quality?

Graduates themselves have noted that better earnings are not the only benefit they expect from studying for a degree. Rather, they are also looking for careers that allow them to use their skills and make a meaningful impact.

Additionally, job quality indicators should be correlated with wellbeing. Yet, evidence from our Graduate Outcomes survey suggests that an association between earnings and wellbeing only emerges for those earning up to approximately £24,000. Thereafter, there is no evident pattern.

This finding holds whether we focus on absolute values or percentage changes for earnings.

You can find a chart illustrating the association between earnings and wellbeing in the ‘Read more’ section.

After the financial crisis, it was concluded that individual and societal progress needed to be judged by more than just monetary values.

The lack of a clear association between earnings and wellbeing across the full wage distribution suggests earnings data will not necessarily be an informative guide to the non-monetary outcomes experienced by graduates.

In the Graduate Outcomes survey, graduates are asked to rate the below aspects of their life on an 11-point scale that goes from 0 to 10, where 0 represents ‘not at all’ and 10 indicates ‘completely’.

  • Overall, how satisfied are you with your life nowadays?
  • Overall, to what extent do you feel that the things you do in your life are worthwhile?
  • Overall, how happy did you feel yesterday?

The chart beneath shows the correlation between these three wellbeing measures and graduate earnings.

Figure 1 illustrates that the correlation between wellbeing and (absolute) earnings is positive until we reach a salary figure of approximately £24,000 per annum. That is, increases in (absolute) earnings are associated with higher wellbeing. After this threshold however, we do not see wellbeing rise as (absolute) earnings increase.
Figure 1: The association between annual earnings in pounds sterling and wellbeing among our graduate sample.

Graduate Outcomes logo. Can the Graduate Outcomes survey help us to understand more about job quality (beyond just earnings)?

Yes. In particular, we are able to look at indicators relating to the design and nature of work dimension of job quality.

This encompasses aspects such as skills use, the extent to which work is meaningful and whether the role provides suitable progression opportunities.

In Graduate Outcomes, we ask questions on all three of these matters.

Three elements; meaningful work, fits with future plans and skills use, feeding into the larger element of job design and nature of work. Should information on these three job quality indicators be summarised into a single composite measure?

The Measuring Job Quality Working Group advise that, where possible, a measure should be formed for each dimension based on the indicators that sit within that component.

Distilling (eighteen) separate indicators into (seven) composite measures can make it easier to understand and communicate general patterns in job quality.

We therefore follow the recommendation of the group and devise a composite measure called ‘job design and nature of work’ to cover this dimension of job quality.

A computer displaying a survey. How did you create a composite measure called ‘job design and nature of work’?

There is a section in the survey that asks graduates in employment to highlight the extent to which they agree or disagree with the following three statements:

  • My current work is meaningful
  • My current work fits with my future plans
  • I am utilising what I learnt during my studies in my current work

A Likert scale is used that comprises five options ranging from strongly disagree to strongly agree (graduates are asked to choose one of these in each instance).

Each response is assigned a value (1 – strongly disagree, 2 – disagree, 3 – neither agree nor disagree, 4 – agree, 5 – strongly agree).

We take an average of the three responses. The final composite measure is therefore a continuous variable that also ranges from 1 to 5. A higher score would indicate better quality work.

Our technical report provides further details on the validity of our methodology.

A human head with a heart overlaid to portray mental health. What is the association between this composite measure and wellbeing?

There is a clear linear correlation between the ‘job design and nature of work’ composite measure and wellbeing, as would be expected from an indicator of job quality.

That is, a higher ‘job design and nature of work’ score is associated with higher wellbeing (the ‘Read more’ section provides a chart that demonstrates this).

In the Graduate Outcomes survey, graduates are asked to rate the below aspects of their life on an 11-point scale that goes from 0 to 10, where 0 represents ‘not at all’ and 10 indicates ‘completely’.

  • Overall, how satisfied are you with your life nowadays?
  • Overall, to what extent do you feel that the things you do in your life are worthwhile?
  • Overall, how happy did you feel yesterday?

The chart beneath shows the correlation between these three wellbeing measures and our ‘job design and nature of work’ measure.

Figure 2 illustrates that there is a linear correlation between wellbeing and our ‘job design and nature of work’ measure, with a stronger association emerging for life evaluations (e.g. life satisfaction) when compared with present emotions (e.g. happiness).
Figure 2: The association between our 'job design and nature of work' composite measure and wellbeing among our graduate sample.

Hands supporting a light bulb, which is glowing. How do we determine whether a job can be defined as being ‘highly skilled’ (i.e. a professional or managerial role)?

In the UK, the Office for National Statistics classifies jobs into categories based on the skills needed for the job and the type of work/knowledge involved.

There are nine major groups and the 'See the data' section below has a table that indicates which are considered to be the ‘highly skilled’ (i.e. professional or managerial) occupations.

Analysis of graduate outcomes in the UK has tended to focus on the proportion of graduates who work in these ‘highly skilled’ roles.

Table 1: The definition of 'highly skilled' occupations in the analysis of graduate outcomes
Category Considered to be 'highly skilled' occupations?
Managers, directors and senior officials Yes
Professional occupations Yes
Associate professional occupations Yes
Administrative and secretarial occupations No
Skilled trades occupations No
Caring, leisure and other service occupations No
Sales and customer service occupations No
Process, plant and machine operatives No
Elementary occupations No

A certificate. Is it always the case that ‘highly skilled’ jobs require higher education qualifications?

In the Graduate Outcomes survey, we ask graduates to self-assess whether they needed their qualification to secure their job (or whether it was an advantage).

The 'See the data' section below has a table that illustrates how responses to this question are associated with occupation categories.

As can be seen, there are a sizeable proportion of managerial roles that do not appear to require higher education qualifications from the graduate’s point of view.

On the other hand, a considerable fraction of administrative and secretarial occupations, skilled trades occupations, as well as caring, leisure and other service occupations have been judged by graduates to either require these qualifications or are deemed beneficial for the role.

Table 2: Whether a higher education qualification was required/beneficial for the graduate in securing their job (NR - Not required, R - Required/Advantage)
Occupational group NR (%) R (%) Not known (%) Sample size
Managers, directors and senior officials 37.4 61.9 0.8 10,295
Professional occupations 9.1 90.2 0.7 159,115
Associate professional occupations 21.1 77.8 1.1 54,315
Administrative and secretarial occupations 44.5 54.1 1.4 18,820
Skilled trades occupations 55.0 44.2 0.8 3,240
Caring, leisure and other service occupations 48.6 50.2 1.2 14,015
Sales and customer service occupations 77.6 21.4 1.0 14,405
Process, plant and machine operatives 71.0 27.8 1.2 1,350
Elementary occupations 89.0 10.4 0.6 10,180
Not known 42.9 49.4 7.7 505

A magnifying glass inspecting a document.What’s the association between the ‘job design and nature of work’ measure and occupation types?

If one looks solely at a chart demonstrating the link between these two variables (supplied in the ‘Read more’ section), they would observe that the three occupation groups classified as ‘highly skilled’ also have the highest ‘job design and nature of work’ scores.

The chart below highlights the association between occupation type and the ‘job design and nature of work’.

Figure 3 indicates the association between occupation category and our ‘job design and nature of work’ measure. We see that ‘job design and nature of work’ scores are highest within the ‘managers, directors and senior officials’, ‘professional occupations’ and ‘associate professional occupations’ occupation groups.
Figure 3: The association between occupation type and the ‘job design and nature of work’ measure among our graduate sample.

A computer displaying several types of graph. Does the association between the ‘job design and nature of work’ change if we introduce additional variables into the exploration?

Previous research has noted that, for UK graduates, skills use in a role tends to be greater in instances where the qualification was deemed as being required or useful for their job.

Given what was found in Table 2 however, we also assessed the relationship between the ‘job design and nature of work’ measure and occupation types based on whether or not the graduate indicated their qualification was required/advantageous for their role (see chart in the ‘Read more’ section).

Doing so illustrates that the pattern is not as definitive as the initial analysis might indicate.

The (nearly) two-fifths of managerial roles that don’t require the graduate’s qualifications display lower ‘job design and nature of work’ scores, on average, than the (almost half of) jobs in skilled trades occupations and caring, leisure and other service occupations which do require/benefit from such qualifications.

The chart below illustrates the key findings discussed above.

Figure 4 shows that when assessing the association between occupation category and our ‘job design and nature of work’ measure by whether or not the graduate believed they required their qualification to secure the job, it is not necessarily the case that the highest ‘job design and nature of work’ scores are always reported among those working within the ‘managers, directors and senior officials’, ‘professional occupations’ and ‘associate professional occupations’ occupation groups.
Figure 4: The association between occupation type and the ‘job design and nature of work’ measure among our graduate sample by whether or not the qualification was required or an advantage in the role.

Speech bubbles displaying text. What are the key take-away messages from this analysis?

Based on the views submitted by graduates, it does not appear that it can be assumed that professional or managerial roles are always those that utilise graduate skills and align with their career aspirations, as has traditionally been the case.

Taken together with the points we make above about earnings, our ‘job design and nature of work’ measure can be a useful addition to statistics produced on graduate outcomes and help to enhance our knowledge on the quality of their jobs.

Two people sharing ideas. How might the ‘job design and nature of work’ be of benefit to (prospective) students?

The introduction of this measure into statistical publications may help students to be better informed about the potential implications of particular education choices (especially given research suggests that they are not only interested in the financial benefits of completing a degree).

For example, while it is well known that those who study Economics tend to earn the most (alongside Medicine graduates), the table in the 'See the data' section below highlights that those who studied Economics do not have the highest ‘job design and nature of work’ scores.

Table 3: Summary statistics on the 'job design and nature of work' score and subject area of study
Subject area of study Mean 'job design and nature of work' score Sample size
Agriculture & related subjects 3.96 2,710
Architecture, building and planning 4.17 6,730
Biological sciences 3.80 25,900
Business & administrative studies 3.85 30,790
Combined 3.74 1,160
Computer science 3.98 10,970
Creative arts & design 3.44 13,295
Economics 3.78 3,800
Education 4.43 35,300
Engineering & technology 3.97 17,025
Historical & philosophical studies 3.60 8,270
Languages 3.61 8,350
Law 3.97 10,285
Mass communications & documentation 3.62 5,000
Mathematical sciences 3.83 4,290
Medicine & dentistry 4.60 8,740
Physical sciences 3.79 11,805
Social studies 3.88 21,470
Subjects allied to medicine 4.42 40,725
Veterinary science 4.54 875
Multiple subject areas studied 3.77 18,740

A document bearing a shield icon with a tick. How might the ‘job design and nature of work’ be utilised by graduate employers/policymakers?

The application of the measure in statistical outputs could also help to highlight inequalities in the labour market.

For instance, as we show in the technical paper, while evidence suggests that there are minimal ethnic disparities in graduate earnings, the same is not true when it comes to the ‘job design and nature of work’.

All ethnic minorities display lower ‘job design and nature of work’ scores and significant differences remain even after accounting for personal, study and employment characteristics.

Table 4: Summary statistics on the 'job design and nature of work' score and ethnicity (before controlling for personal, study and employment characteristics)
Ethnicity Mean 'job design and nature of work' score Sample size
White 4.02 228,570
Indian 3.98 9,470
Pakistani 3.92 6,585
Bangladeshi 3.81 3,410
Chinese 3.90 2,200
Black African 3.91 11,650
Black Caribbean 3.84 3,370
Other 3.90 17,140
Not known 4.09 3,840

Next: Main paper - Abstract

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Tej Nathwani

Tej Nathwani

Principal Researcher (Economist)

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