The association between adolescent well-being and digital technology use.

Area of Science:

• Psychology
• Adolescent Development
• Digital Media Studies

Background:

• Widespread digital technology use among youth has raised concerns about potential negative impacts on psychological well-being.
• Existing evidence often relies on secondary analyses of large datasets, susceptible to analytical flexibility and potential false positives.
• Methodological rigor is needed to address conflicting results in digital technology and adolescent well-being research.

Purpose of the Study:

• To rigorously examine the correlational evidence for the effects of digital technology use on adolescent psychological well-being.
• To address methodological challenges, including potential false positives, in existing research.
• To determine if observed effects are substantial enough to inform policy decisions.

Main Methods:

• Application of specification curve analysis (SCA) across three large-scale social datasets (total N = 355,358).
• Rigorous examination of correlational evidence to assess the relationship between digital technology use and adolescent well-being.
• Analysis focused on identifying the magnitude and significance of the association.

Main Results:

• A statistically significant, yet small, negative association was found between digital technology use and adolescent psychological well-being.
• The observed effect explains a minimal amount of variance in well-being, at most 0.4%.
• The magnitude of the effect suggests it is unlikely to be practically significant.

Conclusions:

• The negative association between digital technology use and adolescent well-being is consistently small across large datasets.
• The findings suggest that current correlational evidence does not support significant negative psychological impacts warranting policy intervention.
• Further research may benefit from employing robust methodologies like SCA to ensure reliable findings in digital media effects studies.