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- Vol 7 RE: Chapter 12, App B, App D
adolescent well-beingdigital technology usespecification-curve analysiseffect sizeobservational evidencescreen-time associationsJournal article Evidence summaryAt a glance
Orben and Przybylski reanalyse three large adolescent datasets using specification-curve analysis to examine the association between digital-technology use and well-being. Instead of selecting one plausible set of variables and analytic choices, they estimate many defensible specifications and display the distribution of results.
Key ideas
Associations are generally negative but very small, with digital use explaining no more than about 0.4% of variation in well-being. The paper also compares this magnitude with ordinary activities and characteristics, showing how large samples can make trivial relationships statistically significant. Because the data are observational and measures of technology use are broad and self-reported, the analysis cannot establish causal effects or identify impacts of particular platforms, content, or users. Its major contribution is methodological as well as substantive: conclusions should be robust to analytic choices and interpreted by effect size.
Why it matters
For educators and families, the findings argue against broad alarm based solely on screen-time correlations while leaving room for targeted attention to individual harms and contexts.
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Edition abbreviations
- TE
- Teacher Edition
- PE
- Practice Edition
- RE
- Research Edition
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