Why PASS Data Matters More Than We Think
by Amanda Archbald

In schools, we are very comfortable talking about grades.
We analyse NGRT scores.
We track CAT4 profiles.
We monitor predicted outcomes and intervention impact.
What we do far less confidently is talk about how a pupil feels about themselves as a learner.
And yet, confidence is not a soft variable. It is a structural one.
This is where PASS data becomes powerful.
What PASS Data Really Tells Us
The PASS Survey is not measuring attainment. It measures attitudes to self, school and learning. It gives us insight into areas such as:
- Feelings about school
- Perceived learning capability
- Self-regard as a learner
- Preparedness for learning
- Attitudes to teachers
- General work ethic
These domains are not peripheral. They are predictive.
A pupil may present with average cognitive ability and stable literacy scores, yet show low perceived learning capability and fragile self-regard. If we ignore that, we misread the trajectory.
Why This Matters for Multilingual Learners
For multilingual pupils, confidence is often the hidden variable.
A pupil learning through an additional language may:
- Understand far more than they can express
- Have strong reasoning ability but limited academic vocabulary
- Experience cognitive overload in lessons
- Internalise comparison with fluent peers
Over time, this can shift identity. Not just performance.
If PASS data indicates low self-regard or declining motivation, that is not simply an emotional issue. It is an inclusion signal.
It may mean:
- Classroom language is not sufficiently scaffolded
- Strengths are not visible
- Heritage language is not valued
- The pupil is participating physically but not cognitively
Without PASS, we may only see the academic surface.
Grades Tell Us What. PASS Helps Us Understand Why.
Academic data answers:
- Is progress being made?
- Is attainment in line with expectation?
- Where are the literacy gaps?
PASS begins to answer:
- Does this pupil believe they can succeed?
- Do they feel safe taking risks?
- Do they feel recognised in this environment?
When a multilingual pupil’s attainment dips, it is easy to default to language deficit explanations. PASS data can challenge that narrative.
Sometimes the issue is not language proficiency.
It is identity safety.
It is belonging.
It is confidence erosion.
That distinction matters.
PASS as a Tiered Provision Tool
In a tiered model of language and inclusion, PASS data is particularly useful.
Tier 1, Quality First Teaching
Low whole-cohort confidence patterns may indicate a need for stronger modelling, clearer success criteria or improved classroom discourse structures.
Tier 2, Targeted Support
A pupil with adequate language scores but low perceived learning capability may need mentoring, structured participation routines, or explicit confidence building.
Tier 3, Intensive Intervention
Persistent low self-regard alongside academic difficulty may require coordinated pastoral and learning support input.
Without PASS, we risk designing provision solely around academic deficit.
Inclusion Is Not Only Access. It Is Agency.
We often define inclusion as access to curriculum.
But true inclusion also involves:
- Feeling competent
- Feeling visible
- Feeling capable
PASS data gives us early indicators of disengagement before it becomes behavioural or academic.
It allows us to intervene preventatively rather than reactively.
And in multilingual contexts, that prevention is critical. Language acquisition takes time. Confidence can erode quickly.
Final Reflection
If we only track attainment, we are measuring performance.
If we track attitudes as well, we are safeguarding participation.
For schools committed to inclusive education, that distinction is not optional. It is fundamental.

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