Short belonging scales work only when universities test where they fit
Updated Jun 19, 2026
Short belonging scales are attractive because they fit easily into induction surveys, pulse checks, and continuation dashboards. But if a short measure works well for one student group and less well for another, the simplicity can become misleading fast. That is why John Eric M. Lingat and colleagues' Journal of Further and Higher Education paper, "The Simple University Belonging Scale: working towards a measure of postsecondary students’ sense of belonging", matters for UK universities using student voice to understand who feels connected, who does not, and how safely belonging can be tracked in survey data.
Context and research question
Belonging now sits at the centre of many higher education strategies on engagement, wellbeing, and continuation. Yet institutions still rely on measures that are borrowed from elsewhere, shortened without re-testing, or treated as universal simply because they are convenient. This paper tackles a practical question: can universities use a brief belonging scale designed specifically for postsecondary students, and can they trust it across different groups?
Lingat and colleagues tested that question through an online survey of 4,851 students at a predominantly White institution. The sample was 53% undergraduate, 65% female, 15% underrepresented minority, 36% on-campus resident, and 24% participant in living-learning programmes. Using the Rasch rating scale model and differential item functioning analyses, the study examined whether the proposed scale held up across gender, minority status, on-campus residency, degree level, and living-learning programme participation. For UK Student Experience and Market Insights teams, that makes the paper useful not because it solves belonging measurement completely, but because it shows what more defensible validation work actually looks like.
Key findings
The paper starts from a strong premise: belonging is too important to be measured casually. The authors position belonging as a construct tied to wellbeing, engagement, retention, and academic success, but argue that many existing instruments were not built specifically for postsecondary students. That matters for UK universities because a generic scale may be quick to deploy while still missing the realities of commuter students, mature students, or cohorts whose experience of connection changes through the year.
The strongest part of the study is its methodological seriousness rather than a dramatic headline result. The proposed Simple University Belonging Scale was refined through subgroup testing, not just judged on one overall reliability figure. That is a more useful standard for institutional survey work than reporting a single alpha value and moving on. It also speaks directly to the wider problem that universities need better validation before they benchmark belonging measures.
The most practically important line in the abstract is this:
"the refined 8-item SUBS was found to be suitable for on-campus undergraduate students."
That finding is promising, but it is also the paper's main warning. The study did not land on a universally safe instrument for every postsecondary context. It landed on an eight-item scale that appears to work for a more specific population. As an inference from the abstract, that narrowing suggests universities should not assume the scale transfers cleanly across off-campus students, taught postgraduates, research students, or other locally important groups without further testing. A short scale is useful only when institutions know where its fit begins and ends.
The psychometric results are strong enough to take seriously, but not to stop asking questions. The final scale showed high internal consistency (alpha = .96) and acceptable Rasch reliability (.83), with minimal differential item functioning across gender, minority status, and living-learning programme participation. At the same time, measurement precision weakened at the top end of the scale. For UK teams, that matters because belonging surveys often skew positive. If responses cluster near the ceiling, small year-on-year improvements or small differences between groups may look more meaningful than the measure can really support.
Practical implications
For UK universities, the first implication is to validate brief belonging measures in your own context before benchmarking groups or setting risk thresholds. If a scale will inform continuation work, Access and Participation activity, or faculty comparison, check subgroup fit explicitly, especially for commuter students, postgraduate cohorts, and other locally important widening-participation groups. The benefit is fewer overconfident decisions built on a tool that works unevenly.
Second, institutions should pair a short belonging scale with one or two open-text prompts. A score may reveal that one group feels less connected, but it will not show whether the issue is staff approachability, course community, induction design, or support navigation. That is where triangulating survey data with student comments becomes essential. Student Voice Analytics fits naturally here because it helps teams group recurring belonging themes in free-text responses, so survey leads can refine questions and interventions with clearer evidence. The benefit is more specific action.
Third, teams should treat belonging measurement as part of a wider evidence process, not a separate survey exercise. If lower belonging scores are meant to trigger action, decide in advance who reviews the results, how often the survey runs, and what counts as enough supporting qualitative evidence to act. A reproducible approach such as our NSS open-text analysis methodology helps institutions connect light-touch measurement with a clearer diagnostic process. The benefit is faster, better-targeted intervention before a weak score hardens into a wider student experience problem.
The most important lesson is simple. A short scale can be valuable, but only if universities resist treating brevity as proof of validity. Belonging evidence is strongest when measurement quality and student voice reinforce each other, not when one is asked to replace the other.
FAQ
Q: How should a university use a short belonging scale in a local survey?
A: Start with a stable core scale, pilot it with the student groups you most need to understand, and review whether the responses behave consistently across those groups before you benchmark them. Then add one or two open-text prompts so students can explain what is shaping their sense of connection. That gives you a measure that can monitor change, and comments that can explain it.
Q: What are the main methodological limits of this study?
A: The paper draws on one large dataset from a predominantly White institution, and the abstract's strongest fit claim is for on-campus undergraduates. That makes the study valuable as a model of validation practice, not as proof that the same scale will work everywhere without adaptation or fresh testing. The ceiling issue also matters, because very positive cohorts may be harder to differentiate precisely.
Q: What does this change about student voice practice more broadly?
A: It reinforces that student voice should do two jobs at once. It should help universities hear what belonging means in local context, and it should act as a check on whether the survey instrument is telling the full story. Even a well-built scale works better when students' own comments can show what sits behind the score.
References
[Paper Source]: John Eric M. Lingat, Michael D. Toland, David M. Dueber, Chen Qiu, Justin Blevins, Trisha Clement, Christopher White, Kenyatta Jeter, Nicholas P. Kehrwald "The Simple University Belonging Scale: working towards a measure of postsecondary students’ sense of belonging" DOI: 10.1080/0309877X.2026.2684694
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