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Journal article

The association between adolescent well-being and digital technology use

Abstract:
The widespread use of digital technologies by young people has spurred speculation that their regular use negatively impacts psychological well-being. Current empirical evidence supporting this idea is largely based on secondary analyses of large-scale social datasets. Though these datasets provide a valuable resource for highly powered investigations, their many variables and observations are often explored with an analytical flexibility that marks small effects as statistically significant, thereby leading to potential false positives and conflicting results. Here we address these methodological challenges by applying specification curve analysis (SCA) across three large-scale social datasets (total n = 355,358) to rigorously examine correlational evidence for the effects of digital technology on adolescents. The association we find between digital technology use and adolescent well-being is negative but small, explaining at most 0.4% of the variation in well-being. Taking the broader context of the data into account suggests that these effects are too small to warrant policy change.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1038/s41562-018-0506-1

Authors


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Institution:
University of Oxford
Division:
Medical Sciences Division
Department:
Experimental Psychology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0001-5547-2185


More from this funder
Funding agency for:
Baukney-Przybylski, A
Grant:
Underst
ingSocietyFellowship
More from this funder
Funding agency for:
Orben, A
Grant:
Horizon 2020 IBSEN Grant


Publisher:
Springer Nature
Journal:
Nature Human Behaviour More from this journal
Volume:
3
Pages:
173–182
Publication date:
2019-01-14
Acceptance date:
2018-11-24
DOI:
EISSN:
2397-3374


Pubs id:
pubs:944846
UUID:
uuid:5d844350-a359-47d3-b10c-4bfb93ce613b
Local pid:
pubs:944846
Source identifiers:
944846
Deposit date:
2018-11-21

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