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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Preliminary analysis of a survey of UK Research Software Engineers</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Olivier Philippe</string-name>
          <email>o.philippe@software.ac.uk</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Neil Chue Hong</string-name>
          <email>n.chuehong@software.ac.uk</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Simon Hettrick</string-name>
          <email>s.hettrick@software.ac.uk</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Software Sustainability Institute, University of Edinburgh</institution>
          ,
          <addr-line>Edinburgh, EH9 3JU</addr-line>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Software Sustainability Institute, University of Southampton</institution>
          ,
          <addr-line>Southampton, SO17 1BJ</addr-line>
        </aff>
      </contrib-group>
      <abstract>
        <p>-This paper presents results from a survey conducted on a new role in academia: the Research Software Engineer (RSE). The survey provides much needed demographic information about the education, field, gender, job satisfaction and career plans of the people of RSEs. The community is found to be highly educated, derive mainly from the hard sciences, and to be predominantly male. Respondents report satisfaction in their jobs, but indicate that career progression is both difficult and opaque. This paper supports a continued discussion about the experience of RSEs and recommends further investigation into this important community.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>I. INTRODUCTION</title>
      <p>
        The term Research Software Engineer (RSE) was coined
in 2012 in a paper [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ] that described the situation of people
in academia who write software used by researchers. At the
time, little was known about software use in research, but even
less was known about the people who develop, maintain and
extend that code. The term was chosen because it fuses the
two skills that are necessary to the role: an understanding of
research, and an understanding of software engineering.
      </p>
    </sec>
    <sec id="sec-2">
      <title>It is noted that the term RSEs is intended to be interpreted</title>
      <p>broadly, it does not imply that the only people who can inhabit
the role derive from a software engineering background.
Indeed, most RSEs come from a background other than software
engineering.</p>
    </sec>
    <sec id="sec-3">
      <title>In a 2014 survey [2], the Software Sustainability Institute</title>
      <p>found that almost 70% of researchers from across domains
relied on software for the generation of their results, which
shows the fundamental importance of software to research.
The availability of this software and its reliability are
completely dependent on the skills of the person or people who
develop it. Although some academics will choose to adopt
the skills they need to engineer reliable software, many will
not have either the time or inclination to do so. A more
scalable and sustainable approach to embedding these skills
in academia is to ensure that academics have access to RSEs.</p>
    </sec>
    <sec id="sec-4">
      <title>The Software Sustainability Institute began a campaign in 2013 to increase the availability of RSEs by ensuring they had a viable career path in academia. To provide a more accurate picture of the communitys development, it was decided to</title>
      <sec id="sec-4-1">
        <title>This work is licensed under a CC-BY-4.0 license.</title>
        <p>start an annual survey to collect demographics. This paper
shares the results of this survey and uses these results to infer
conclusions about the community.</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>II. SAMPLE AND METHODOLOGY</title>
      <p>The RSE role is performed by people from a wide range
of backgrounds. Anecdotally it appeared that most RSEs came
from a research background, albeit one that had allowed them
to amass software engineering skills. It appeared that a
minority came from a background of formal training in software
engineering. This wide range of backgrounds, expertise and
education means that it is not currently possible to provide a
concise summary of the RSE role which does not overlook
some part of the RSE community. Until such a definition
exists, it was decided to take an inclusive approach to defining
the RSE role by allowing RSEs to self-identify.</p>
    </sec>
    <sec id="sec-6">
      <title>To target RSEs directly, the survey was sent via email to</title>
      <p>the UKRSE Associations mailing list. Two further reminders
were sent to the list to elicit responses from the community.</p>
    </sec>
    <sec id="sec-7">
      <title>People who received these emails helped to disseminate the survey via email, on blogs and using Twitter and other social media.</title>
    </sec>
    <sec id="sec-8">
      <title>In total, 592 responses were received, but only 367 of these</title>
      <p>were complete (i.e. where all mandatory questions had been
answered). The survey was devised to investigate RSEs in the</p>
    </sec>
    <sec id="sec-9">
      <title>UK, but dissemination of the survey had resulted in responses</title>
      <p>from around the world. This first analysis was focuses on</p>
    </sec>
    <sec id="sec-10">
      <title>UK, and hence on the 335 complete responses from UK-based participants.</title>
    </sec>
    <sec id="sec-11">
      <title>III. GENDER, LEVEL OF EDUCATION AND ACADEMIC</title>
      <sec id="sec-11-1">
        <title>BACKGROUND</title>
      </sec>
    </sec>
    <sec id="sec-12">
      <title>The first set of questions investigated the university at which</title>
      <p>people work, their field and level of education, and their
gender.</p>
      <p>The most striking result from this survey is that there are far
fewer female RSEs than male. Only 11% of the participants
were female, and it is assumed that this is representative of
the UK community of RSEs. This is a low level of female
participation even by the poor standards of UK computer
science (14%), which has one of the worst gender disparities
in academia.</p>
      <p>It is argued that RSEs are more effective at academic
software development than a consultant software engineer,
because they understand not just software engineering but
research too. With 69.5% of participants reporting a doctorate
as their highest degree (see Fig. 1), and a further 18.2%
reporting a masters degree, it would appear that this argument
is sound. The majority of RSEs have worked as a researcher,
which will provide them with an intimate knowledge of the
research process, its incentives and idiosyncrasies.</p>
    </sec>
    <sec id="sec-13">
      <title>The educational background of the participants was deter</title>
      <p>
        mined by asking about the field of their highest degree (see
Fig. 1). The Joint Academic Coding System (JACS) [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ] was
used to classify the field. JACS provides a system for grouping
together academic subjects, which at the top-level distills the
many hundreds of academic subjects into 22 different JACS
codes. It is occasionally contentious, for example, in grouping
together veterinary science and agriculture, but there is no
more widely accepted system of academic classification in UK
academia.
      </p>
      <p>The largest proportion of RSEs gained their highest degree
in the physical sciences (39.4%, n=130) followed by computer
sciences (23.6%, n=78). These subjects alone accounted for
63% of all participants. It is noted that physical sciences and
not computer sciences, as was commonly accepted, are the
origin of the most participants in the survey, and it would seem
reasonable to predict that this reflects the UK RSE community.</p>
    </sec>
    <sec id="sec-14">
      <title>The next 27% of respondents derive from mathematical sci</title>
      <p>ences and computer sciences (11.8%), engineering (7.9%) and
biological sciences (7.6%). After this point, no single JACS
code accounts for more than 3% of the participants.</p>
    </sec>
    <sec id="sec-15">
      <title>Aside from the unexpected leading position of physicists, the educational background of RSEs follows the expected trend, with the ”hard sciences” providing significantly more participants than other educational domains.</title>
    </sec>
    <sec id="sec-16">
      <title>IV. GOOD PRACTICES AND PAPER PARTICIPATION RSEs combine an understanding of software engineering and research practices, so we might expect them to report</title>
      <p>7.6% 7.9%</p>
      <p>11.8%
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aspects of both roles in their work, for example best
development practices (development side) and paper publications
(research side).</p>
    </sec>
    <sec id="sec-17">
      <title>Although the survey was primarily aimed at understanding</title>
      <p>the RSE community, it also presented an opportunity to
investigate the sustainability of the research software projects
on which the RSEs worked. We chose two broad measures
to provide an insight into sustainability: the bus factor and
technical hand over planning.</p>
    </sec>
    <sec id="sec-18">
      <title>The bus factor is a measure of the number of developers</title>
      <p>who understand a specific software project and could, with
only a cursory review of the project, maintain or extend the
code. A project with a bus factor of 1 is completely reliant on
only one developer. If this developer finds new employment,
becomes ill or is hit by the titular bus, then the project will fail.</p>
    </sec>
    <sec id="sec-19">
      <title>A high bus factor provides some confidence that the project</title>
      <p>can be sustained even if a developer leaves.</p>
      <p>A technical hand over plan is used to introduce a new
developer to a software project. These plans cover basic
information, such as the licence and location of the software
repository, a description of the software architecture, a
summary of development plans and any other information that
a new developer would need to understand the software. A
project that has written (and maintained) a technical hand over
plan can withstand the departure of a developer, even a key
developer, significantly better than one without such a plan.</p>
      <p>A cause of much controversy in academia is the subject of
who should be named on a paper. Researchers are well aware
of the importance of papers and citations to their reputation
and the progression of their career, and as a consequence they
will fiercely argue for inclusion on papers covering work to
which they have contributed. One of the complaints heard
from the RSE community is that RSEs are not recognised
for their, sometimes significant, contribution to research. To
investigate the recognition of RSEs in academia the survey
focussed on whether they had contributed to research that was
published in a paper, and whether they were acknowledged
for that contribution.</p>
      <sec id="sec-19-1">
        <title>A. Good practices</title>
        <p>The results reported for bus factor (see table I) show that
the majority of RSEs (46%, n=117) are part of a development
team consisting of only one person. It is tempting to seize
on this figure and lambast research groups for under-investing
in software developers in their team and, in doing so, putting
at risk the reliability of their software. We must keep in mind
the significant financial restrictions placed on research groups,
and that it is unlikely that many researchers would refuse to
employ more RSEs if they were given the resources to do
so. However, we can conclude that almost half of the research
projects included in this survey rely on only one developer, and
this is a significant risk to the sustainability of these projects.</p>
      </sec>
    </sec>
    <sec id="sec-20">
      <title>A bus factor of two (or greater) is reasonable for a research</title>
      <p>group, and just over half of the projects surveyed reported this
level of support.</p>
      <p>Only 24% of RSEs reported that their software project has
a technical hand over plan. Whereas research projects can be
forgiven for being over-reliant on too few developers due to
the lack of resources, there is little excuse for not developing a
technical hand over plan. Almost three quarters of the projects
included in this survey report having no technical hand over
plan, which puts them at significant risk of sabotaging their
own sustainability. The importance of technical hand over
plans must be raised with the research community in an
attempt to convince more projects to write one.</p>
      <sec id="sec-20-1">
        <title>B. Contribution to publications</title>
        <p>Although 88.2% (n=284) of RSEs reported contributing to
research that was later published in a paper, 30% of these</p>
      </sec>
    </sec>
    <sec id="sec-21">
      <title>RSEs were not listed as an author.</title>
      <p>RSEs more typically receive an acknowledgment in the
paper for their contribution (76%, n=278) rather than being
named on the paper. It is unusual for an RSE to be named as
the lead author on a paper (40% n=147), which could indicate
that they are unlikely to conduct their own research. It will
be illuminating to conduct follow-up analysis of these RSEs
to see where they are publishing their papers and whether the
paper focuses on research made possible by software, or on the
software itself. More RSEs have been named as a co-author
(69% n=253) than as a lead author.
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0</p>
      <p>AcknowledgedParticipation Co.author</p>
      <p>Lead.author</p>
      <p>
        How to measure the quality of a job has been debated in
psychology for a long time [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]. Several models exist to
understand the link between different factors of job satisfaction and
turnover intention [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]–[
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Turnover intention is an important
measure that is highly associated with the risk of employees
leaving the organisation [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]. Job satisfaction is important in
retaining RSEs. Perceived employability provides information
on how workers values their own skills in regard of the market.
      </p>
    </sec>
    <sec id="sec-22">
      <title>To measure the different attitudes toward the RSE role,</title>
      <p>
        we used scales that have been created in [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ], [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ].
      </p>
    </sec>
    <sec id="sec-23">
      <title>These are Likert scale [10], which are 5 point ordinal scales</title>
      <p>graduated from Strongly disagree to Strongly agree. Each scale
is composed of several so called items (i.e. questions) that each
measure one attitude.</p>
      <p>
        There is significant debate about the use of a Likert scale
[
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. According to a review by Normam [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ], parametric tests
are a valid and robust options for ordinal data, as long as there
are sufficient responses per category (at least 5). The second
argument is about aggregating several items from a scale into
a single measure. This approach is often used when a scale
is used to measure a broader concept by aggregating items to
produce a total or mean score [
        <xref ref-type="bibr" rid="ref13">13</xref>
        ].
      </p>
    </sec>
    <sec id="sec-24">
      <title>It is important to check that a scale is measuring only</title>
      <p>
        a single concept and to check if all items are effectively
measuring the underlying attitude. The most common used test
for internal consistency is the Cronbach Alpha [
        <xref ref-type="bibr" rid="ref14">14</xref>
        ]. This test’s
measure is expressed as a number between 0 and 1, where a
good reliability is indicated by an score of 0.7 to 0.95 [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ].
      </p>
    </sec>
    <sec id="sec-25">
      <title>A value under this range indicates a poor reliablility, while a</title>
      <p>
        value over the range indicates an overlap of items [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
    </sec>
    <sec id="sec-26">
      <title>The scales used in this study were developed and tested in</title>
      <p>
        previous research [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ], [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ], [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>We calculated the Cronbach Alpha for each scale we
measured and, as shown in table II, found a good internal
consistency meaning that it is safe to aggregate the items of
each scale into one measure. The aggregation was performed
by attributing a score from 1 to 5 for each category and
calculating the mean of this aggregate score for the sample
(see Fig. 5).</p>
      <p>Turnover intention has a low aggregate score (m=0.681,
sd=0.825), which indicates that RSEs in the main do not intend
to quit their current position. Taken alone, this measure could
be understood if RSEs are happy in their current position, if
they believe their skills are not needed, or if the market is
oversaturated. However, other measures discussed below remove
some of these possibilities.</p>
    </sec>
    <sec id="sec-27">
      <title>RSEs believe that their skills are much in demand: reporting</title>
      <p>a perceived employability score of m=3.566 (sd=0.922) out of
a potential maximum score of 5.0. They also indicate being
satisfied that their work is appreciated (item Satisfaction),
with a relative high score (m=3.653, sd=0.959), and on the
recognition they gain from their colleagues and co-workers
(m=3.537, sd=0.988). On the feedback they received from their
hierarchy or colleagues (item Feedback), the score is slightly
lower (m=3.022, sd=0.831)</p>
      <p>It would appear that RSEs are happy in their positions,
because they report a low turnover intention, even though
their skills are in demand, and satisfaction in the way they
are perceived. This runs contrary to the commonly heard
complaints of the RSE community, so further analysis must be
conducted to understand these results. A series of interviews
with RSEs is planned to investigate this issue in more depth.</p>
    </sec>
    <sec id="sec-28">
      <title>VI. CAREER PATH AND OPPORTUNITIES</title>
    </sec>
    <sec id="sec-29">
      <title>An attractive career path RSEs must offer an obvious route</title>
      <p>to promotion within the group. We asked 5 questions to
investigate how RSEs viewed their career plan (see the table</p>
    </sec>
    <sec id="sec-30">
      <title>VIII and fig. 6).</title>
      <p>Turnover
Intention
Perceived
Employability
Satisfaction
Recognition
Feedback</p>
    </sec>
    <sec id="sec-31">
      <title>Participants appear to see their current position as a desired</title>
      <p>step in their career plan (item Career.Plan) with a high score
in general (m=3.453, sd=1.183) and they also report that
their next position is likely to also be an RSE role (item
Next.Position), (m=3.285, sd=1.135). This indicates that RSEs
are choosing their role and the result for Next.Position could
be argued to show that RSEs are choosing, not just a job,
but a career in Research Software Engineering. However, they
are less positive about the opportunities for promotion (item
Promotion) (m=2.315, sd=1.202). They also report a lack
of information on the promotion process (item Information)
(m=2.353, sd=1.247), which is understandable because the</p>
    </sec>
    <sec id="sec-32">
      <title>RSE role is not yet a sanctioned career in academia and hence does not attract institutional support. RSEs are more neutral about opportunities (item opportunities) (m=2.758, sd=1.162).</title>
    </sec>
    <sec id="sec-33">
      <title>The problems of identifying RSEs, and hence the reason</title>
      <p>why they are asked to self-identify, is discussed above. The
UKRSE Association1 were the first to encounter this problem
and as a consequence had developed a number of questions
to help potential RSEs align themselves with the role. These
questions are as follows:
1) Are you employed primarily to develop software for
research?
2) Do you spend more time developing software than
conducting research?
3) Are you employed as a postdoctoral researcher?
4) Are you the person who does computers in your research
group?</p>
    </sec>
    <sec id="sec-34">
      <title>The above questions were devised to appeal to people who</title>
      <p>worked in a research environment but wrote software rather
than papers, and were based on the experiences of a group of
people who had worked in the RSE role. They were designed
to identify aspects that, anecdotally at least, appeared to unite
RSEs from all backgrounds. For example, many appeared to
have been recruited into postdoctoral positions, and many
were referred to as the person ”who does computers” by their
less technologically adept colleagues. The above questions are
broad, and even colloquial at times, to appeal to the intended
audience and present the RSE community as inclusive. RSEs
were said to have self-identified once they had joined the</p>
    </sec>
    <sec id="sec-35">
      <title>UKRSE Association.</title>
      <p>To investigate the effectiveness of the above questions in
identifying RSEs, they were included in the RSE survey. The
results (see table IX) indicate that, unsurprisingly, the most
effective way of identifying RSEs is to focus on software
development: 72% (n=241) reported that they spend more
time developing software than conducting research, and 58%
(n=193) reported that they are employed primarily to develop
software for research. The question about the person who does
computers was agreed with by 40% (n=136) of participants,
which indicates that this colloquial approach appeals to a
substantial number of RSEs. Only 28% (n=95) of participants
reported that they are employed in a postdoctoral position. It
would appear that the widely held belief that most RSEs are
employed as postdoctoral researchers is untrue.</p>
    </sec>
    <sec id="sec-36">
      <title>Although four questions were devised to identify RSEs, it</title>
      <p>would appear that there is significant agreement only with
the questions related to time spent performing software
development. This result will be communicated with the UKRSE</p>
    </sec>
    <sec id="sec-37">
      <title>Association so that they can decide on whether to change their approach to recruitment RSEs.</title>
    </sec>
    <sec id="sec-38">
      <title>VIII. CONCLUSION</title>
    </sec>
    <sec id="sec-39">
      <title>Any new community venture has to begin life without the</title>
      <p>support of hard evidence. It must first be shown to have gained
traction with its target community before that community will
have sufficient incentive to contribute to evidence gathering.</p>
    </sec>
    <sec id="sec-40">
      <title>This was the situation with the RSE community in early 2016:</title>
      <p>it had gained significant interest, membership had grown to a
significant size, but the tenets on which the community was
based were supported mainly by anecdotal evidence. The RSE
survey described in this paper provides evidence for the first
time about this important community.</p>
      <p>It would appear that many assumptions about the
community are correct. They are have an intimate knowledge of
research, with 69.5% holding a doctorate, and they mainly
derive from a background in the physical science and computer
sciences. Anyone who spends time with this community will
realise that it is predominantly male, as shown by the small
number of female participants to the survey: a mere 11%. This
gender imbalance is an issue of much debate across STEM
subjects, which provides a potential area of collaboration for
the RSE community and route to addressing the issue. It
is noted that the RSE community has accepted this issue
and is already working to improve representation across its
membership.</p>
    </sec>
    <sec id="sec-41">
      <title>The survey investigated two measures of the sustainability</title>
      <p>of the software on which RSEs work. It was found that 46% of
RSEs work on projects with a bus factor of 1 and, potentially
more worrying, 6% of RSEs work on projects where no
technical hand over plan exists. The concepts of software
sustainability are still relatively new to many in the research
community, and it would appear that there is much work to be
done to ensure that the community can sustain its own work
- at least according to these broad measures.</p>
    </sec>
    <sec id="sec-42">
      <title>It has long been argued that RSEs are not acknowledged</title>
      <p>in papers. This argument is supported by the survey which
found that despite 88.2% of RSEs contributing to a result that
appeared in publication, 24% of these RSEs were not even
acknowledged in the paper. Paper publications might not be the
most appropriate mechanism for acknowledging the work of</p>
    </sec>
    <sec id="sec-43">
      <title>RSEs, but whilst other metrics are determined, we must work</title>
      <p>to ensure that they are acknowledged for their contribution by
conventional measures.</p>
      <p>We investigated attitudes towards the RSE career using
robust and previously assessed scales. Turnover intention is
a critical aspect, because it informs us of fragility of the
community. The participants did not express any significant
desire to leave their current position, which indicates that
the community is robust The affective side (job satisfaction),
the cognitive aspect (perceived employability), and the social
aspect (recognition) of the RSE role were investigated are were
positive.</p>
    </sec>
    <sec id="sec-44">
      <title>The RSE career plan is not viewed as positively. Although</title>
    </sec>
    <sec id="sec-45">
      <title>RSEs appear to have chosen their position and indicate a desire</title>
      <p>to stay in the role, they are less positive about the likelihood
of promotion and access to information about it. This could
be a warning sign of a dead-end career path.</p>
    </sec>
    <sec id="sec-46">
      <title>This positive attitude despite a weak career plan could be</title>
      <p>explained by the novelty of their role and the interest this
generates. Longitudinal analysis is needed to develop a deeper
understanding of this result, but the conclusion based on this
survey is that RSEs feel positive about their role.</p>
    </sec>
    <sec id="sec-47">
      <title>Plans are now in place to conduct this study in countries</title>
      <p>other than the UK. It would be enlightening to conduct the
same analysis of software engineers working in industrial
research (e.g. in R&amp;D departments) to a relative measure
against which research software engineering can be related.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <given-names>R.</given-names>
            <surname>Baxter</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N. Chue</given-names>
            <surname>Hong</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Gorissen</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Hetherington</surname>
          </string-name>
          ,
          <string-name>
            <surname>and I. Todorov</surname>
          </string-name>
          , “The Research Software Engineer.” [Online]. Available: http://digitalresearch-2012.oerc.ox.ac.uk/papers/the-research-software-engineer
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <given-names>S.</given-names>
            <surname>Hettrick</surname>
          </string-name>
          , “
          <article-title>It's impossible to conduct research without software, say 7 out of 10 UK researchers</article-title>
          .” [Online]. Available: https://www.software.ac.uk/blog/2016-07-26
          <article-title>-its-impossibleconduct-research-without-software-</article-title>
          <string-name>
            <surname>say-</surname>
          </string-name>
          7
          <string-name>
            <surname>-</surname>
          </string-name>
          out-10
          <string-name>
            <surname>-</surname>
          </string-name>
          uk-researchers
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>Joint</given-names>
            <surname>Academic Coding</surname>
          </string-name>
          <article-title>System (JACS) Version 3</article-title>
          .
          <fpage>0</fpage>
          . [Online]. Available: https://www.hesa.ac.uk/jacs3
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>B.</given-names>
            <surname>Aziri</surname>
          </string-name>
          , “
          <article-title>Job satisfaction: A literature review</article-title>
          ,” vol.
          <volume>3</volume>
          , no.
          <issue>4</issue>
          , pp.
          <fpage>77</fpage>
          -
          <lpage>86</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>A. B.</given-names>
            <surname>Bakker</surname>
          </string-name>
          and E. Demerouti, “
          <article-title>The job demands-resources model: State of the art</article-title>
          ,” vol.
          <volume>22</volume>
          , no.
          <issue>3</issue>
          , pp.
          <fpage>309</fpage>
          -
          <lpage>328</lpage>
          ,
          <fpage>02996</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>G. H. L.</given-names>
            <surname>Cheng and D. K. S. Chan</surname>
          </string-name>
          , “
          <article-title>Who Suffers More from Job Insecurity? A Meta-Analytic Review</article-title>
          .” vol.
          <volume>57</volume>
          , no.
          <issue>2</issue>
          , p.
          <fpage>272</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <given-names>N.</given-names>
            <surname>De Cuyper</surname>
          </string-name>
          ,
          <string-name>
            <given-names>S.</given-names>
            <surname>Mauno</surname>
          </string-name>
          ,
          <string-name>
            <given-names>U.</given-names>
            <surname>Kinnunen</surname>
          </string-name>
          ,
          <article-title>and</article-title>
          <string-name>
            <given-names>A.</given-names>
            <surname>Mkikangas</surname>
          </string-name>
          , “
          <article-title>The role of job resources in the relation between perceived employability and turnover intention: A prospective two-sample study</article-title>
          ,” vol.
          <volume>78</volume>
          , no.
          <issue>2</issue>
          , pp.
          <fpage>253</fpage>
          -
          <lpage>263</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <given-names>E. R.</given-names>
            <surname>Thompson</surname>
          </string-name>
          and
          <string-name>
            <given-names>F. T.</given-names>
            <surname>Phua</surname>
          </string-name>
          , “
          <article-title>A brief index of affective job satisfaction</article-title>
          ,” vol.
          <volume>37</volume>
          , no.
          <issue>3</issue>
          , pp.
          <fpage>275</fpage>
          -
          <lpage>307</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <given-names>L.</given-names>
            <surname>Greenhalgh</surname>
          </string-name>
          and
          <string-name>
            <given-names>Z.</given-names>
            <surname>Rosenblatt</surname>
          </string-name>
          , “
          <article-title>Job insecurity: Toward conceptual clarity</article-title>
          ,” pp.
          <fpage>438</fpage>
          -
          <lpage>448</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <given-names>R.</given-names>
            <surname>Likert</surname>
          </string-name>
          , “
          <article-title>A technique for the measurement of attitudes</article-title>
          .” vol.
          <volume>22</volume>
          , no.
          <issue>140</issue>
          , p.
          <fpage>55</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <given-names>J.</given-names>
            <surname>Carifio</surname>
          </string-name>
          and
          <string-name>
            <given-names>R.</given-names>
            <surname>Perla</surname>
          </string-name>
          , “
          <article-title>Resolving the 50-year debate around using and misusing Likert scales</article-title>
          ,” vol.
          <volume>42</volume>
          , no.
          <issue>12</issue>
          , pp.
          <fpage>1150</fpage>
          -
          <lpage>1152</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <given-names>G.</given-names>
            <surname>Norman</surname>
          </string-name>
          , “
          <article-title>Likert scales, levels of measurement and the laws of statistics</article-title>
          ,” vol.
          <volume>15</volume>
          , no.
          <issue>5</issue>
          , pp.
          <fpage>625</fpage>
          -
          <lpage>632</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <given-names>G. M.</given-names>
            <surname>Sullivan</surname>
          </string-name>
          and
          <string-name>
            <given-names>A. R.</given-names>
            <surname>Artino</surname>
          </string-name>
          , “Analyzing and
          <string-name>
            <given-names>Interpreting</given-names>
            <surname>Data From Likert-Type</surname>
          </string-name>
          <string-name>
            <surname>Scales</surname>
          </string-name>
          ,” vol.
          <volume>5</volume>
          , no.
          <issue>4</issue>
          , pp.
          <fpage>541</fpage>
          -
          <lpage>542</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref14">
        <mixed-citation>
          [14]
          <string-name>
            <given-names>L. J.</given-names>
            <surname>Cronbach</surname>
          </string-name>
          , “
          <article-title>Coefficient alpha and the internal structure of tests</article-title>
          ,” vol.
          <volume>16</volume>
          , no.
          <issue>3</issue>
          , pp.
          <fpage>297</fpage>
          -
          <lpage>334</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref15">
        <mixed-citation>
          [15]
          <string-name>
            <given-names>D. L.</given-names>
            <surname>Streiner</surname>
          </string-name>
          , “
          <article-title>Starting at the Beginning: An Introduction to Coefficient Alpha</article-title>
          and Internal Consistency,” vol.
          <volume>80</volume>
          , no.
          <issue>1</issue>
          , pp.
          <fpage>99</fpage>
          -
          <lpage>103</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref16">
        <mixed-citation>
          [16]
          <string-name>
            <given-names>M.</given-names>
            <surname>Tavakol</surname>
          </string-name>
          and
          <string-name>
            <given-names>R.</given-names>
            <surname>Dennick</surname>
          </string-name>
          , “
          <article-title>Making sense of Cronbach's alpha</article-title>
          ,” vol.
          <volume>2</volume>
          , pp.
          <fpage>53</fpage>
          -
          <lpage>55</lpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>