Peer effects in bedtime decisions among adolescents: a social network model with sampled data

Area of Science:

• Sociology
• Economics
• Adolescent Health

Background:

• Adolescent sleep patterns are influenced by a complex interplay of individual, family, and social factors.
• Peer influence is a significant aspect of adolescent development, potentially impacting health-related behaviors.
• Previous research often overlooks the complexities of network data, particularly sampling issues, in analyzing social effects.

Purpose of the Study:

• To investigate the impact of peer effects on adolescent bedtime decisions using a representative sample of US teenagers.
• To develop and apply an extended nonlinear least-squares estimator for spatial autoregressive models to address network fixed effects and sampled dependent variables.
• To highlight the inferential consequences of neglecting sampling issues in network analyses of social behaviors.

Main Methods:

• Utilized unique data from a representative sample of US teenagers.
• Extended the nonlinear least-squares estimator for spatial autoregressive models.
• Employed network models incorporating network fixed effects and sampled observations of the dependent variable (bedtime).

Main Results:

• Neglecting sampling issues in network models can lead to misleading inferential results regarding peer effects.
• Peer bedtime decisions significantly influence an adolescent's own bedtime, even after accounting for individual, family, and peer characteristics.
• The study provides robust evidence for the role of peer influence on adolescent sleep timing.

Conclusions:

• Peer behavior is a critical determinant of adolescent bedtime decisions.
• Accurate analysis of social network effects requires careful consideration of sampling methodologies.
• Understanding peer influence is vital for interventions aimed at improving adolescent sleep health.