Multilevel Analysis of Child and Adolescent Subjective Well-Being Across 14 Countries: Child- and Country-Level Predictors

Lisa A. Newland, Jarod T. Giger, Michael J. Lawler, Soonhee Roh, Barbara L. Brockevelt, Amy Schweinle

Research output: Contribution to journalArticlepeer-review

59 Scopus citations

Abstract

This study tests an ecological, relationship-based model of children's subjective well-being with 9- to 14-year-old children (n = 25,906) from 14 countries across Africa, Asia, Europe, North America, and South America. Children completed the Children's Worlds survey, a self-report measure of contextual and well-being indicators. Multilevel modeling was used to predict children's well-being (life satisfaction and self-image) at two levels, child (age, gender, home context, family relationships, peer relationships, school context, teacher relationships, and neighborhood quality), and country (gross domestic product and income inequality). Findings indicated that intercepts varied significantly across countries. The majority of variance in children's well-being was attributed to child-level rather than country-level factors. Country-level factors did not strongly predict well-being but marginally improved model fit.

Original languageEnglish
Pages (from-to)395-413
Number of pages19
JournalChild Development
Volume90
Issue number2
DOIs
StatePublished - Mar 1 2019

Bibliographical note

Publisher Copyright:
© 2018 Society for Research in Child Development

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Education
  • Developmental and Educational Psychology

Fingerprint

Dive into the research topics of 'Multilevel Analysis of Child and Adolescent Subjective Well-Being Across 14 Countries: Child- and Country-Level Predictors'. Together they form a unique fingerprint.

Cite this