Adolescents and social media: The effects of frequency of use, self-presentation, social comparison, and self esteem on possible self imagery

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Abstract

<p class="first" id="d2731701e67">American adolescents continue to show a strong social media presence. This presence entails consistent monitoring of how they present themselves, and how that presentation compares to others, which in turn impacts the versions of the self they share with others. These versions include their hoped for (e.g. high academic achiever) or feared selves (e.g. inconsistent academic achiever) which have been referred to as possible selves. Here, we explored the contributions of social media use, self-presentation, social comparison, and self-esteem on adolescents' reflection of their possible selves. We also examined age as a factor to determine whether early and late adolescents reflect on and craft their social media presence in similar fashions. Ideally, all adolescents would seek to share a balance of possible selves whereby their social media presence includes both a hoped for self and a feared self in the same aspect of their lives (e.g. academic achievement and failure). These balances have been linked to positive outcomes in offline contexts. </p>

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Most cited references 41

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Numerous rules-of-thumb have been suggested for determining the minimum number of subjects required to conduct multiple regression analyses. These rules-of-thumb are evaluated by comparing their results against those based on power analyses for tests of hypotheses of multiple and partial correlations. The results did not support the use of rules-of-thumb that simply specify some constant (e.g., 100 subjects) as the minimum number of subjects or a minimum ratio of number of subjects (N) to number of predictors (m). Some support was obtained for a rule-of-thumb that N ≥ 50 + 8 m for the multiple correlation and N ≥104 + m for the partial correlation. However, the rule-of-thumb for the multiple correlation yields values too large for N when m ≥ 7, and both rules-of-thumb assume all studies have a medium-size relationship between criterion and predictors. Accordingly, a slightly more complex rule-of thumb is introduced that estimates minimum sample size as function of effect size as well as the number of predictors. It is argued that researchers should use methods to determine sample size that incorporate effect size.

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#Sleepyteens: Social media use in adolescence is associated with poor sleep quality, anxiety, depression and low self-esteem.

Heather Cleland Woods, Holly Scott (2016)

This study examined how social media use related to sleep quality, self-esteem, anxiety and depression in 467 Scottish adolescents. We measured overall social media use, nighttime-specific social media use, emotional investment in social media, sleep quality, self-esteem and levels of anxiety and depression. Adolescents who used social media more - both overall and at night - and those who were more emotionally invested in social media experienced poorer sleep quality, lower self-esteem and higher levels of anxiety and depression. Nighttime-specific social media use predicted poorer sleep quality after controlling for anxiety, depression and self-esteem. These findings contribute to the growing body of evidence that social media use is related to various aspects of wellbeing in adolescents. In addition, our results indicate that nighttime-specific social media use and emotional investment in social media are two important factors that merit further investigation in relation to adolescent sleep and wellbeing.