ArticleBMC global and public health2025
Analytic methodology for demographic variation analyses for wave 1 of the global flourishing study.
Article in BMC global and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 3 of them syntheses that pooled it.
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Who cites it
45 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Childhood predictors of religious reading: a cross-national analysis in the Global Flourishing Study.Scientific reports · 2025Pooled it
- Sociodemographic variations of belief in life after death across 22 Countries.Scientific reports · 2025Pooled it
- Sociodemographic variation in dispositional forgivingness: a cross-national analysis with 22 countries.Scientific reports · 2025Pooled it
- Cohort update: waves 2 and 3 of the global flourishing study.European journal of epidemiology · 2026Article
- A cross-national analysis of demographic variation in perceived social trust across 22 countries.Scientific reports · 2026Article
- Swedish Well-Being: The rising importance of age among demographic, personality, and social relationship factors.SSM - population health · 2026Article
- A cross-national study of demographic variation and childhood predictors of traumatic distress.Communications medicine · 2026Article
- Childhood predictors of political voice across 22 countries in the global flourishing study.Scientific reports · 2026Article
- A cross-sectional analysis of male versus female flourishing among 202,898 participants across 22 countries on 73 variables in the global flourishing study.Scientific reports · 2026Article
- Exploring associations of three evaluative subjective wellbeing measures (Cantril's ladder, life satisfaction, happiness) with 15 childhood and demographic factors across 22 countries.Scientific reports · 2026Article
- Longitudinal associations of dispositional forgivingness with multidimensional well-being: a two-wave outcome-wide analysis in the Global Flourishing Study.Npj mental health research · 2026Article
- Demographic variation in symptoms of depression and anxiety across 22 Global Flourishing Study countries.Communications medicine · 2026Article
- Demographic variation in weekly alcohol use across countries in the Global Flourishing Study.Communications medicine · 2026Article
- Where Hope Thrives: Demographic Variation in Hope across 22 Countries.Journal of happiness studies · 2026Article
- A comparative "report card" wellbeing assessment of 22 countries in the Global Flourishing Study.Discover global society · 2026Article
- The Prevalence and Predictors of Experiences of Beauty in 22 Countries: An International Assessment of Aesthetic Appreciation in the Global Flourishing Study.Applied research in quality of life · 2026Article
- Sociodemographic variation and childhood predictors of showing love and care for others in 22 countries.Scientific reports · 2025Article
- Community participation in secular and religious contexts across sociodemographic groups in 22 countries.Scientific reports · 2025Article
- A cross-sectional study of demographic variation in health problem-related limitations in life across 22 countries: a cross-national analysis.BMC global and public health · 2025Article
- Mapping demographic variations in sense of mastery across the world a cross-national analysis of 22 countries in the global flourishing study.Scientific reports · 2025Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this article, we describe the statistical and design methodology of the demographic variation analyses used as part of a coordinated set of manuscripts for wave 1 of the Global Flourishing Study (GFS). Aspects covered include the following: evaluating demographic variation, accounting for the complex sampling design, missing data and imputation, and meta-analysis. We provide a brief illustrative example of the demographic variation analyses using a measure of purpose in life from the GFS survey and conclude by outlining some strengths and limitations of the analytic and statistical methodology employed.
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