Insights · Methodology

how we measure.

The instrument, the waves, and the rules we hold ourselves to. Written down before the results are in - so you can hold us to it.

Almost every loneliness initiative is well-intentioned. Almost none can show, in an instrument a policymaker recognises, whether it worked. We think the people who fund this work - and the people who join it - deserve better than assertions. So before our first district reports exist, here is exactly how they will be produced.

01 · The instrument

the government's own scale.

We use the De Jong Gierveld 6-item loneliness scale: three questions on emotional loneliness, three on social loneliness. It was developed at VU Amsterdam, has been validated over decades, and is the standard instrument in Dutch public-health monitoring - the same scale behind the GGD health monitors and national loneliness statistics.

That choice is strategic as much as scientific: when we report a change, a municipal health official can place our number directly next to their own targets. A homemade well-being quiz would be easier to flatter ourselves with. That is exactly why we don't use one.

02 · The waves

at joining, at three months, at six.

Participants are invited to answer the six questions when they join Gader - it takes about a minute - and again three and six months later. Answering is always optional and never blocks anyone from joining a gathering. Alongside the scale we record the behavioural signals that don't rely on self-report: whether someone attends again within thirty days, and whether they become part of a recurring circle.

03 · What we compare

dose and response, not before and after.

A simple before-and-after number flatters any intervention: people who feel better also go out more. So our primary comparison is dose-response: do participants who attended many gatherings change differently from those who joined once and stopped? If frequent attenders improve while low-engagement users don't, that pattern says something a raw average never can.

Where a pilot allows it, we add a waiting-group comparison - people who signed up but whose district hasn't been activated yet. And we report attrition honestly: who stopped answering, and how that may bias the result.

04 · What partners see

districts, never individuals.

Municipalities, housing corporations, and venue partners receive quarterly reports at district level: participation, repeat-encounter rate, venue activity, and measured loneliness change. Always aggregated, always with minimum group sizes, never traceable to a person. Individual answers are never shared with anyone - not with partners, not with hosts, not with other participants.

Loneliness scores are sensitive personal data and we treat them that way: explicit consent at collection, data minimisation, the right to have your answers deleted at any time, and a plain-language explanation of all of this inside the app - not buried in a policy.

05 · The rules

what we will never claim.

We say "associated with," not "caused by." We report limits as prominently as results. We share the measurement protocol with partners before a pilot starts, so the bar is set before the data exists. And we would rather publish a modest, real effect than an impressive, unverifiable one - because one overclaimed number would cost us the only thing that makes this model work: being believed.

We don't just create connection - we measure it, with the same instrument the government uses.

See it in practice

The pilot journal: Popdistrict and Kralingen, week by week.

Read the journal

Working on loneliness at a municipality, GGD, insurer, or housing corporation and want the full protocol? Ask us: [email protected].

Sources

  • De Jong Gierveld, J. & Van Tilburg, T., A 6-Item Scale for Overall, Emotional, and Social Loneliness, VU Amsterdam
  • Movisie, Seven effective elements of loneliness interventions
  • Meisters, R. et al. (2021), Does Loneliness Have a Cost?, International Journal of Public Health