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Thesis

Teens, screens and well-being: an improved approach

Abstract:

Concerns about emergent technologies form a continuous cycle: they appear when a new technology surpasses a certain popularity threshold and stop once a newer technology prompts the cycle to restart. Currently, society is concerned about teenage digital technology and social media use, which is feared to negatively impact well-being. While there has been a flurry of research in the area, remarkably little consensus has been reached. I argue in this thesis that such a lack of consensus stems from a lack of methodological rigour. Using innovations put forth by psychology’s recent credibility revolution, I devise an improved methodological framework for the study of emergent technologies. I then apply it to investigate digital technology and social media use’s association with decreased adolescent well-being, using large-scale secondary datasets from the United Kingdom, Ireland and the United States. My first study implements a methodological approach called Specification Curve Analysis, which tackles analytical flexibility by illustrating how diverse analytical approaches can produce a wide range of numerical outcomes. Furthermore, I develop a comparison specification method to put the size of the associations found into perspective. My second study focuses on diversifying measurement and implements an explicit exploratory and confirmatory hypothesis testing framework. Lastly, my third study utilises high-quality longitudinal data to highlight the bidirectional and individual nature of the effects of interest. All studies indicate that previous systematic reviews overestimated the negative link between digital technology use and well-being. It is however still unclear whether the small, complex and inherently multivariate relationship found in this thesis should engender widespread policy change.

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Institution:
University of Oxford
Department:
MSD
Sub department:
Experimental Psychology
Role:
Author

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Institution:
University of Oxford
Department:
MSD
Sub department:
Experimental Psychology
Role:
Supervisor
Institution:
University of Oxford
Department:
MSD
Sub department:
Experimental Psychology
Role:
Supervisor


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Funding agency for:
Dunbar, R
Grant:
IBSEN
More from this funder
Funding agency for:
Orben, A


DOI:
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford


Keywords:
Subjects:
UUID:
uuid:198781ae-35b8-4898-b482-8df7201b59e1
Deposit date:
2019-09-13
ARK identifier:

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