In the first evaluation of loneliness measurement across all 27 EU countries, Annecy Behavioral Science Lab grades the tools behind billion-euro policy — and releases a traffic-light system to tell…
Relying on data from an EU Loneliness survey, we examine three loneliness measurements for their suitability in population surveys. We will assess the factor structure, reliability, measurement invariance, and nomological…
Key points Workplace loneliness is an organizational issue, not just a personal one: It shapes how people show up, collaborate, and how long they stay. Structures, leadership behavior, and culture…
Each team approached the task differently: some wrote their code from scratch, others modified code that Nick Brown shared, and all documented ambiguities and discrepancies they encountered along the way. This post summarises the most important findings from the reproduction teams
Some people feel deeply connected to their neighbourhood—invested, engaged, and truly at home—while others, even just doors apart, feel isolated or disconnected. Why does this happen?
As we conclude our Connecting the Dots series, it's clear that tackling social isolation and loneliness (SIL) requires a deep rethinking of how we approach both research and practice. The journey through this series ...
Social isolation and loneliness (SIL) research is facing a credibility crisis, largely driven by low-quality studies, insufficient sample sizes, and an overreliance on small-scale interventions that lack replicability.
Social isolation and loneliness (SIL) have emerged as significant public health concerns, with research demonstrating their profound impact on physical and mental health outcomes.
As social isolation and loneliness emerge as critical public health concerns, we face a pressing challenge: our tools for measuring these phenomena haven't kept pace with our understanding of their complexity.
We often hear claims like “15% of French citizens are lonely,” but how confident can we be in such statistics? The tools we use to measure constructs like loneliness are complex, and it turns out that much of what we think we know may be built on shaky foundations. In reality, the numbers we rely on might not fully capture what we hope they do.