LONELY-EU Policy Brief No. 4
The LONELY-EU Evidence Quality Rating System: A Framework for Reliable Loneliness Measurement in EU Policy.
The LONELY-EU Evidence Quality Rating System: A Framework for Reliable Loneliness Measurement in EU Policy.
Relationship quality is a foundational construct, but there is no consensus on its definition, conceptualization and measurement. Here we explore the conceptualization of relationship quality by conducting in-depth interviews with…
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…
TWCF Country Report: China Rethinking the Science of Human Connection About the publication This report is part of the main study “A Multi-Country Investigation into the Conceptualization and Experience of…
TWCF Country Report: Philippines Rethinking the Science of Human Connection About the publication This report is part of the main study “A Multi-Country Investigation into the Conceptualization and Experience of…
TWCF Country Report: India Rethinking the Science of Human Connection About the publication This report is part of the main study “A Multi-Country Investigation into the Conceptualization and Experience of…
TWCF Country Report: Philippines Rethinking the Science of Human Connection About the publication This report is part of the main study “A Multi-Country Investigation into the Conceptualization and Experience of…
TWCF Country Report: Turkiye Rethinking the Science of Human Connection About the publication This report is part of the main study “A Multi-Country Investigation into the Conceptualization and Experience of…
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.