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487

Identifying relevant experiences to the measurement of social media experience via focus groups with young people: A registered reportuse asterix (*) to get italics
Jo Hickman Dunne, Louise Black, Emily Banwell, Pratyasha Nanda, Molly Anderton, Lily Corke Butters, Ola Demkowicz, Brittany Davidson, Pamela Qualter, Neil Humphrey, Caroline Jay, and Margarita PanayiotouPlease use the format "First name initials family name" as in "Marie S. Curie, Niels H. D. Bohr, Albert Einstein, John R. R. Tolkien, Donna T. Strickland"
2023
<p>Background: While work on the relationship between social media use and adolescent mental health has allowed for some progress, research in this area is still relatively new and shows mixed evidence. This is partly the consequence of a rapidly changing field, resulting in conceptualisation and measurement issues that hinder progress. Aim: Given the need for robust conceptualisation, the current study aims to understand adolescents’ experiences, motivations, and perceptions of social media use. This will contribute to our understanding of salient dimensions and language to inform the development of an adolescent social media experience measure related to mental health. Method: The current study will use a qualitative design and the sample will include a total of 32 adolescents aged 11 to 15 in Northwest England. Four focus groups, one for each of our target year groups (Years 7 to 10 of English schools), with 8 adolescents in each, will be conducted. Transcripts will be analysed using thematic analysis.&nbsp;</p>
You should fill this box only if you chose 'All or part of the results presented in this preprint are based on data'. URL must start with http:// or https://
You should fill this box only if you chose 'Scripts were used to obtain or analyze the results'. URL must start with http:// or https://
You should fill this box only if you chose 'Codes have been used in this study'. URL must start with http:// or https://
social media, adolescent mental health, adolescent voice, focus groups
NonePlease indicate the methods that may require specialised expertise during the peer review process (use a comma to separate various required expertises).
Computer science, Social sciences
No need for them to be recommenders of PCI Registered Reports. Please do not suggest reviewers for whom there might be a conflict of interest. Reviewers are not allowed to review preprints written by close colleagues (with whom they have published in the last four years, with whom they have received joint funding in the last four years, or with whom they are currently writing a manuscript, or submitting a grant proposal), or by family members, friends, or anyone for whom bias might affect the nature of the review - see the code of conduct
e.g. John Doe [john@doe.com]
2023-06-14 21:10:43
Veli-Matti Karhulahti