Effect of online and offline social network group clusters on life satisfaction across age groups.

ABSTRACT:

Background

Positive social relationships are critical for better subjective well-being across ages. Future research will benefit from examining how to improve life satisfaction by utilizing social groups in new, ever-changing social and technological contexts. This study aimed to evaluate the effect of online and offline social network group clusters on life satisfaction across different age groups.

Methods

Data were derived from the Chinese Social Survey (CSS) (2019), which is a nationally representative survey. We adopted a K-mode cluster analysis algorithm to categorize participants into four clusters according to their online and offline social network groups. ANOVA and chi-square analysis were used to understand the associations among age groups, social network group cl

SUBMITTER: Chu M 

PROVIDER: S-EPMC10205503 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature